alamb commented on PR #19367:
URL: https://github.com/apache/datafusion/pull/19367#issuecomment-4415112764

   > Thank you for working on this.
   > 
   > I feel the current solution may be hard to maintain if we rely on macros.
   > 
   > Ideally, each metric should expose a required `doc` API, so the 
documentation can be generated more directly and reliably. The challenge is 
that metric sets are currently built at runtime. 🤔
   > 
   > I don't think this is something AI can implement directly with a trivial 
prompt now. We may need to first do some plumbing, figure out the right design, 
and then carry it out gradually.
   
   I agree with @2010YOUY01  -- Thank you @aaron-ang
   
   What I would suggest we do is something similar to what @Omega359 did for 
the function comments
   1. Make an api similar to 
[`Documentation`](https://docs.rs/datafusion/latest/datafusion/logical_expr/struct.Documentation.html)
 / 
[ScalarUDFImpl::documentation](https://docs.rs/datafusion/latest/datafusion/logical_expr/trait.ScalarUDFImpl.html#method.documentation)
   2. Implement that API for the different metrics that we have
   3. Update `dev/update_function_docs.sh` so it uses that new API to 
automatically generate the API docs
   
   If we want to pursue this strategy I suggest this implementation order
   1. A Proof of Concept PR that shows how the plumbng would work (no need to 
actually put docs in for all metrics yet)
   2. THen we'll break it up itno smaller PRs for review (API, registry, 
script/docs, etc)
   
   


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