Fixed Floating point reference in preprocessing of dataframes for SQL save

src/manifestIO.jl

@@ -366,17 +366,16 @@ After preprocessing, `df` will have its `NaN` and `Inf` values replaced with `no
 function preprocess_dataframe!(df::DataFrame)
     for col in names(df)
         col_type = eltype(df[!, col])
-        
+
         # Clamp values if range is defined for the column type
         if haskey(SQL_RANGES, col_type)
             min_val, max_val = SQL_RANGES[col_type]
             df[!, col] = clamp.(df[!, col], min_val, max_val)
         end
-        
-        # Replace NaN and Inf with nothing
-        if col_type <: FloatingPoint
+
+        # Replace NaN and Inf with nothing for floating-point columns
+        if col_type <: AbstractFloat
             df[!, col] = map(x -> isfinite(x) ? x : nothing, df[!, col])
         end
     end
-end
-
+end
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