julia> problem
Problem statistics
  problem is DCP         : true
  number of variables    : 1 (32 scalar elements)
  number of constraints  : 3 (67 scalar elements)
  number of coefficients : 31
  number of atoms        : 29
  ...

julia> get_info(problem.model)
(n_variables = 1639, n_constraints = 16, n_elements = 18259, n_constants = 43103)

julia> function get_info(model)
           n_constraints = 0
           n_elements = 0
           n_variables = MOI.get(model, MOI.NumberOfVariables())
           n_constants = 0
           for (F, S) in MOI.get(model, MOI.ListOfConstraintTypesPresent())
               n_constraints += MOI.get(problem.model, MOI.NumberOfConstraints{F,S}())

               for inds in MOI.get(model, MOI.ListOfConstraintIndices{F,S}())
                   set = MOI.get(model, MOI.ConstraintSet(), inds)
                   n_elements += MOI.dimension(set)
                   f = MOI.get(model, MOI.ConstraintFunction(), inds)
                   n_constants += count_size(f)
               end
           end
           return (; n_variables, n_constraints, n_elements, n_constants)
       end
get_info (generic function with 1 method)

julia> function count_size(f::MOI.VectorAffineFunction)
           return length(f.terms) + length(f.constants)
       end
count_size (generic function with 1 method)