use std::hash::{Hash, Hasher};
use arrow_schema::{DataType, FieldRef};
use datafusion_common::{DataFusionError, internal_err};
use datafusion_expr::{ColumnarValue, ReturnFieldArgs, ScalarFunctionArgs, ScalarUDFImpl, Signature};
use reifydb_core::expression::{Expression, XorExpression, name::display_label};
use reifydb_value::{error::LogicalOp, fragment::Fragment};
use crate::{
expression::{context::EvalContext, logic::execute_logical_op},
lower::{Lowered, Node, bool_field, error::into_external, logic_probe, lower_node, udf, volatile},
};
type DfResult<T> = std::result::Result<T, DataFusionError>;
pub(super) fn lower_xor<'e>(
ctx: &EvalContext,
operator: &'static str,
expression: &'e Expression,
xor: &'e XorExpression,
) -> Lowered<Node> {
let left = lower_node(ctx, operator, &xor.left)?;
let right = lower_node(ctx, operator, &xor.right)?;
let fragment = xor.full_fragment_owned();
execute_logical_op(&logic_probe(&left.field)?, &logic_probe(&right.field)?, &fragment, LogicalOp::Xor)?;
let nullable = left.field.is_nullable() || right.field.is_nullable();
Ok(Node {
expr: udf(
XorUdf {
fragment,
signature: volatile(),
},
vec![left.expr, right.expr],
),
field: bool_field(display_label(expression).text(), nullable),
})
}
#[derive(Debug)]
struct XorUdf {
fragment: Fragment,
signature: Signature,
}
impl PartialEq for XorUdf {
fn eq(&self, other: &Self) -> bool {
self.fragment == other.fragment
}
}
impl Eq for XorUdf {}
impl Hash for XorUdf {
fn hash<H: Hasher>(&self, state: &mut H) {
self.fragment.hash(state);
}
}
impl ScalarUDFImpl for XorUdf {
fn name(&self) -> &str {
"xor"
}
fn signature(&self) -> &Signature {
&self.signature
}
fn return_type(&self, _arg_types: &[DataType]) -> DfResult<DataType> {
internal_err!("xor types its output through return_field_from_args")
}
fn return_field_from_args(&self, args: ReturnFieldArgs) -> DfResult<FieldRef> {
Ok(bool_field("xor", args.arg_fields.iter().any(|field| field.is_nullable())))
}
fn invoke_with_args(&self, args: ScalarFunctionArgs) -> DfResult<ColumnarValue> {
let left = (args.arg_fields[0].clone(), args.args[0].clone().into_array(args.number_rows)?);
let right = (args.arg_fields[1].clone(), args.args[1].clone().into_array(args.number_rows)?);
let (_, array) =
execute_logical_op(&left, &right, &self.fragment, LogicalOp::Xor).map_err(into_external)?;
Ok(ColumnarValue::Array(array))
}
fn coerce_types(&self, arg_types: &[DataType]) -> DfResult<Vec<DataType>> {
Ok(arg_types.to_vec())
}
}