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reifydb_function/duration/
scale.rs

1// SPDX-License-Identifier: AGPL-3.0-or-later
2// Copyright (c) 2025 ReifyDB
3
4use reifydb_core::value::column::data::ColumnData;
5use reifydb_type::value::{container::temporal::TemporalContainer, r#type::Type};
6
7use crate::{
8	ScalarFunction, ScalarFunctionContext,
9	error::{ScalarFunctionError, ScalarFunctionResult},
10	propagate_options,
11};
12
13pub struct DurationScale;
14
15impl DurationScale {
16	pub fn new() -> Self {
17		Self
18	}
19}
20
21fn extract_i64(data: &ColumnData, i: usize) -> Option<i64> {
22	match data {
23		ColumnData::Int1(c) => c.get(i).map(|&v| v as i64),
24		ColumnData::Int2(c) => c.get(i).map(|&v| v as i64),
25		ColumnData::Int4(c) => c.get(i).map(|&v| v as i64),
26		ColumnData::Int8(c) => c.get(i).copied(),
27		ColumnData::Int16(c) => c.get(i).map(|&v| v as i64),
28		ColumnData::Uint1(c) => c.get(i).map(|&v| v as i64),
29		ColumnData::Uint2(c) => c.get(i).map(|&v| v as i64),
30		ColumnData::Uint4(c) => c.get(i).map(|&v| v as i64),
31		ColumnData::Uint8(c) => c.get(i).map(|&v| v as i64),
32		ColumnData::Uint16(c) => c.get(i).map(|&v| v as i64),
33		_ => None,
34	}
35}
36
37fn is_integer_type(data: &ColumnData) -> bool {
38	matches!(
39		data,
40		ColumnData::Int1(_)
41			| ColumnData::Int2(_) | ColumnData::Int4(_)
42			| ColumnData::Int8(_) | ColumnData::Int16(_)
43			| ColumnData::Uint1(_)
44			| ColumnData::Uint2(_)
45			| ColumnData::Uint4(_)
46			| ColumnData::Uint8(_)
47			| ColumnData::Uint16(_)
48	)
49}
50
51impl ScalarFunction for DurationScale {
52	fn scalar(&self, ctx: ScalarFunctionContext) -> ScalarFunctionResult<ColumnData> {
53		if let Some(result) = propagate_options(self, &ctx) {
54			return result;
55		}
56		let columns = ctx.columns;
57		let row_count = ctx.row_count;
58
59		if columns.len() != 2 {
60			return Err(ScalarFunctionError::ArityMismatch {
61				function: ctx.fragment.clone(),
62				expected: 2,
63				actual: columns.len(),
64			});
65		}
66
67		let dur_col = columns.get(0).unwrap();
68		let scalar_col = columns.get(1).unwrap();
69
70		match dur_col.data() {
71			ColumnData::Duration(dur_container) => {
72				if !is_integer_type(scalar_col.data()) {
73					return Err(ScalarFunctionError::InvalidArgumentType {
74						function: ctx.fragment.clone(),
75						argument_index: 1,
76						expected: vec![
77							Type::Int1,
78							Type::Int2,
79							Type::Int4,
80							Type::Int8,
81							Type::Int16,
82							Type::Uint1,
83							Type::Uint2,
84							Type::Uint4,
85							Type::Uint8,
86							Type::Uint16,
87						],
88						actual: scalar_col.data().get_type(),
89					});
90				}
91
92				let mut container = TemporalContainer::with_capacity(row_count);
93
94				for i in 0..row_count {
95					match (dur_container.get(i), extract_i64(scalar_col.data(), i)) {
96						(Some(dur), Some(scalar)) => {
97							container.push(*dur * scalar);
98						}
99						_ => container.push_default(),
100					}
101				}
102
103				Ok(ColumnData::Duration(container))
104			}
105			other => Err(ScalarFunctionError::InvalidArgumentType {
106				function: ctx.fragment.clone(),
107				argument_index: 0,
108				expected: vec![Type::Duration],
109				actual: other.get_type(),
110			}),
111		}
112	}
113
114	fn return_type(&self, _input_types: &[Type]) -> Type {
115		Type::Duration
116	}
117}