Michael Weinberg

Hey @syang, right now the focus is on converting the benchmark to run in DBT so that it is easier to 1. re-run the benchmark yourself and make changes as...

perhaps this could be another meta option, eg a default like `infer-looker-dimensions=false` and then if you flip the switch, _automatically_ generate column descriptions indicating that the field was machine generated,...

i suppose it might go somewhere around here: https://github.com/lightdash/dbt2looker/blob/bb8f5b485ec541e2b1be15363ac3c7f8f19d030d/dbt2looker/generator.py#L246 as like, `if column.meta.dimension.group_label:` etc

@jtcohen6, I'm sort of interested in diving in, but I'm not clear on scope. does "all the places" include: 1. adapters? 2. first party dbt packages? 3. third party dbt...

looking at this, it's not referenced anywhere, so maybe it is just very old copypasta