2. This depends a bit on which hooks you're trying to use. Pipeline hooks (i.e.

before_pipeline_run

,

after_pipeline_run

,

on_pipeline_error

) have both

run_params

and

pipeline

available to them as arguments. Hence you could do a conditional hook like this:

class Hooks:
    @hook_impl
    def before_pipeline_run(self, run_params: Dict[str, Any]) -> None:
        if run_params["pipeline_name"] == "data_science":
             # code that only runs when you call `kedro run --pipeline=data_science`

Alternatively you can use

pipeline

which will contain the actual

Pipeline

object (i.e. collection of nodes) that kedro is going to execute in that

kedro run