Julia: missing reference for macro defined variables

[Tambup]

Hello.
I have the following false positive "Julia: missing reference" warning in presence of variables defined inside a macro.

Here an example:

using JuMP, HiGHS

model = direct_model(HiGHS.Optimizer())
@variable(model, x[i=1:10] .>= 0)                        # getting "Julia: Missing reference: x"
@constraint(model, convex, x .== 1)                     # getting "Julia: Missing reference: x" and "Julia: Missing reference: convex"

I understand it is a missing reference as the variable "x" is defined inside the @variable macro, but is there a way to let the LSP understand it or to omit the warning just for that specific line?

Something similar happens with DataFrames.
If I access the column "col1" as "df.col1", it is marked as missing. Same as before, can I inform the LSP or omit the warning, just for that line?

Thank you!

[jgardona]

Same Issue here. But for SymPy macros.