use reifydb_core::value::column::{Column, columns::Columns, data::ColumnData};
use reifydb_type::value::r#type::{Type, input_types::InputTypes};
use crate::function::{
Function, FunctionCapability, FunctionContext, FunctionInfo,
error::{ScalarFunctionResult, FunctionError},
};
pub struct DateDate;
impl Default for DateDate {
fn default() -> Self {
Self::new()
}
}
impl DateDate {
pub fn new() -> Self {
Self
}
}
impl Function for DateDate {
fn info(&self) -> &FunctionInfo {
static INFO: FunctionInfo = FunctionInfo {
name: "date::date".to_string(),
description: None,
};
&INFO
}
fn capabilities(&self) -> &[FunctionCapability] {
&[FunctionCapability::Scalar]
}
fn return_type(&self, _input_types: &[Type]) -> Type {
Type::Date }
fn accepted_types(&self) -> InputTypes {
InputTypes::DateTime
}
fn execute(&self, ctx: &FunctionContext, args: &Columns) -> ScalarFunctionResult<Columns> {
if args.len() != 1 {
return Err(FunctionError::ArityMismatch {
function: ctx.fragment.clone(),
expected: 1,
actual: args.len(),
});
}
let column = &args[0];
let (data, _bitvec) = column.data().unwrap_option();
let row_count = data.len();
if !data.get_type().is_datetime() {
return Err(FunctionError::InvalidArgumentType {
function: ctx.fragment.clone(),
argument_index: 0,
expected: InputTypes::DateTime.expected_at(0).to_vec(),
actual: data.get_type(),
});
}
let mut result_data = ColumnData::date_with_capacity(row_count);
for i in 0..row_count {
if data.is_defined(i) {
let datetime_val = data.get_value(i); result_data.push(datetime_val.date());
} else {
result_data.push(Value::null()); }
}
Ok(Columns::new(vec![Column::new(ctx.fragment.clone(), result_data)]))
}
}