use reifydb_core::value::column::data::ColumnData;
use reifydb_type::value::{container::temporal::TemporalContainer, date::Date, r#type::Type};
use crate::function::{
ScalarFunction, ScalarFunctionContext,
error::{ScalarFunctionError, ScalarFunctionResult},
propagate_options,
};
pub struct DateStartOfMonth;
impl DateStartOfMonth {
pub fn new() -> Self {
Self
}
}
impl ScalarFunction for DateStartOfMonth {
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() != 1 {
return Err(ScalarFunctionError::ArityMismatch {
function: ctx.fragment.clone(),
expected: 1,
actual: columns.len(),
});
}
let col = columns.get(0).unwrap();
match col.data() {
ColumnData::Date(container) => {
let mut result = TemporalContainer::with_capacity(row_count);
for i in 0..row_count {
if let Some(date) = container.get(i) {
match Date::new(date.year(), date.month(), 1) {
Some(d) => result.push(d),
None => result.push_default(),
}
} else {
result.push_default();
}
}
Ok(ColumnData::Date(result))
}
other => Err(ScalarFunctionError::InvalidArgumentType {
function: ctx.fragment.clone(),
argument_index: 0,
expected: vec![Type::Date],
actual: other.get_type(),
}),
}
}
fn return_type(&self, _input_types: &[Type]) -> Type {
Type::Date
}
}