reifydb_function/date/
new.rs1use reifydb_core::value::column::data::ColumnData;
5use reifydb_type::value::{container::temporal::TemporalContainer, date::Date, r#type::Type};
6
7use crate::{
8 ScalarFunction, ScalarFunctionContext,
9 error::{ScalarFunctionError, ScalarFunctionResult},
10 propagate_options,
11};
12
13pub struct DateNew;
14
15impl DateNew {
16 pub fn new() -> Self {
17 Self
18 }
19}
20
21fn extract_i32(data: &ColumnData, i: usize) -> Option<i32> {
22 match data {
23 ColumnData::Int1(c) => c.get(i).map(|&v| v as i32),
24 ColumnData::Int2(c) => c.get(i).map(|&v| v as i32),
25 ColumnData::Int4(c) => c.get(i).copied(),
26 ColumnData::Int8(c) => c.get(i).map(|&v| v as i32),
27 ColumnData::Int16(c) => c.get(i).map(|&v| v as i32),
28 ColumnData::Uint1(c) => c.get(i).map(|&v| v as i32),
29 ColumnData::Uint2(c) => c.get(i).map(|&v| v as i32),
30 ColumnData::Uint4(c) => c.get(i).map(|&v| v as i32),
31 ColumnData::Uint8(c) => c.get(i).map(|&v| v as i32),
32 ColumnData::Uint16(c) => c.get(i).map(|&v| v as i32),
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 DateNew {
52 fn scalar(&self, ctx: ScalarFunctionContext) -> ScalarFunctionResult<ColumnData> {
53 if let Some(result) = propagate_options(self, &ctx) {
54 return result;
55 }
56
57 let columns = ctx.columns;
58 let row_count = ctx.row_count;
59
60 if columns.len() != 3 {
61 return Err(ScalarFunctionError::ArityMismatch {
62 function: ctx.fragment.clone(),
63 expected: 3,
64 actual: columns.len(),
65 });
66 }
67
68 let year_col = columns.get(0).unwrap();
69 let month_col = columns.get(1).unwrap();
70 let day_col = columns.get(2).unwrap();
71
72 if !is_integer_type(year_col.data()) {
73 return Err(ScalarFunctionError::InvalidArgumentType {
74 function: ctx.fragment.clone(),
75 argument_index: 0,
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: year_col.data().get_type(),
89 });
90 }
91 if !is_integer_type(month_col.data()) {
92 return Err(ScalarFunctionError::InvalidArgumentType {
93 function: ctx.fragment.clone(),
94 argument_index: 1,
95 expected: vec![
96 Type::Int1,
97 Type::Int2,
98 Type::Int4,
99 Type::Int8,
100 Type::Int16,
101 Type::Uint1,
102 Type::Uint2,
103 Type::Uint4,
104 Type::Uint8,
105 Type::Uint16,
106 ],
107 actual: month_col.data().get_type(),
108 });
109 }
110 if !is_integer_type(day_col.data()) {
111 return Err(ScalarFunctionError::InvalidArgumentType {
112 function: ctx.fragment.clone(),
113 argument_index: 2,
114 expected: vec![
115 Type::Int1,
116 Type::Int2,
117 Type::Int4,
118 Type::Int8,
119 Type::Int16,
120 Type::Uint1,
121 Type::Uint2,
122 Type::Uint4,
123 Type::Uint8,
124 Type::Uint16,
125 ],
126 actual: day_col.data().get_type(),
127 });
128 }
129
130 let mut container = TemporalContainer::with_capacity(row_count);
131
132 for i in 0..row_count {
133 let year = extract_i32(year_col.data(), i);
134 let month = extract_i32(month_col.data(), i);
135 let day = extract_i32(day_col.data(), i);
136
137 match (year, month, day) {
138 (Some(y), Some(m), Some(d)) => {
139 if m >= 1 && d >= 1 {
140 match Date::new(y, m as u32, d as u32) {
141 Some(date) => container.push(date),
142 None => container.push_default(),
143 }
144 } else {
145 container.push_default();
146 }
147 }
148 _ => container.push_default(),
149 }
150 }
151
152 Ok(ColumnData::Date(container))
153 }
154
155 fn return_type(&self, _input_types: &[Type]) -> Type {
156 Type::Date
157 }
158}