use reifydb_core::value::column::data::ColumnData;
use reifydb_type::value::r#type::Type;
use crate::function::{
ScalarFunction, ScalarFunctionContext,
error::{ScalarFunctionError, ScalarFunctionResult},
};
pub struct IsNone;
impl IsNone {
pub fn new() -> Self {
Self
}
}
impl ScalarFunction for IsNone {
fn scalar(&self, ctx: ScalarFunctionContext) -> ScalarFunctionResult<ColumnData> {
let columns = ctx.columns;
let row_count = ctx.row_count;
if columns.len() != 1 {
return Err(ScalarFunctionError::ArityMismatch {
function: ctx.fragment.clone(),
expected: 1,
actual: columns.len(),
});
}
let column = columns.get(0).unwrap();
let data: Vec<bool> = (0..row_count).map(|i| !column.data().is_defined(i)).collect();
Ok(ColumnData::bool(data))
}
fn return_type(&self, _input_types: &[Type]) -> Type {
Type::Boolean
}
}