use reifydb_core::value::column::data::ColumnData;
use reifydb_type::value::{container::temporal::TemporalContainer, time::Time, r#type::Type};
use crate::function::{
ScalarFunction, ScalarFunctionContext,
error::{ScalarFunctionError, ScalarFunctionResult},
propagate_options,
};
pub struct TimeAdd;
impl TimeAdd {
pub fn new() -> Self {
Self
}
}
const NANOS_PER_DAY: i64 = 86_400_000_000_000;
impl ScalarFunction for TimeAdd {
fn scalar(&self, ctx: ScalarFunctionContext) -> ScalarFunctionResult<ColumnData> {
if let Some(result) = propagate_options(self, &ctx) {
return result;
}
let columns = ctx.columns;
let row_count = ctx.row_count;
if columns.len() != 2 {
return Err(ScalarFunctionError::ArityMismatch {
function: ctx.fragment.clone(),
expected: 2,
actual: columns.len(),
});
}
let time_col = columns.get(0).unwrap();
let dur_col = columns.get(1).unwrap();
match (time_col.data(), dur_col.data()) {
(ColumnData::Time(time_container), ColumnData::Duration(dur_container)) => {
let mut container = TemporalContainer::with_capacity(row_count);
for i in 0..row_count {
match (time_container.get(i), dur_container.get(i)) {
(Some(time), Some(dur)) => {
let time_nanos = time.to_nanos_since_midnight() as i64;
let dur_nanos =
dur.get_nanos() + dur.get_days() as i64 * NANOS_PER_DAY;
let result_nanos =
(time_nanos + dur_nanos).rem_euclid(NANOS_PER_DAY);
match Time::from_nanos_since_midnight(result_nanos as u64) {
Some(result) => container.push(result),
None => container.push_default(),
}
}
_ => container.push_default(),
}
}
Ok(ColumnData::Time(container))
}
(ColumnData::Time(_), other) => Err(ScalarFunctionError::InvalidArgumentType {
function: ctx.fragment.clone(),
argument_index: 1,
expected: vec![Type::Duration],
actual: other.get_type(),
}),
(other, _) => Err(ScalarFunctionError::InvalidArgumentType {
function: ctx.fragment.clone(),
argument_index: 0,
expected: vec![Type::Time],
actual: other.get_type(),
}),
}
}
fn return_type(&self, _input_types: &[Type]) -> Type {
Type::Time
}
}