1use super::AssignmentContext;
10use crate::{ColumnType, SQLError};
11use uqa_core::{ArrayValue, DecimalValue, TemporalValue, Value};
12
13mod carrier;
14pub(super) use carrier::normalize_existing;
15pub use carrier::{contains_legacy_vectors, normalize_legacy_vector_carrier_with_control};
16
17pub fn coerce_assignment_value(
18 context: &dyn AssignmentContext,
19 value: Value,
20 target: &ColumnType,
21 source: Option<&ColumnType>,
22) -> Result<Value, SQLError> {
23 if source.is_some_and(|source| same_catalog_value_type(source, target)) {
24 return normalize_existing(value, target);
25 }
26 if matches!(target, ColumnType::Domain { .. }) {
27 let source = source.map(ColumnType::catalog_name);
28 if let Some(value) =
29 super::domain::assign_domain_value_from(context, &value, source.as_deref(), target)?
30 {
31 return Ok(value);
32 }
33 }
34 let value = if target.is_character_string() {
35 source
36 .map(|source| crate::expr::format_regtype_value(&value, source, Some(context)))
37 .transpose()?
38 .flatten()
39 .map(Value::Str)
40 .unwrap_or(value)
41 } else {
42 value
43 };
44 convert_value_to_column_type_with_context(context, value, target)
45}
46
47fn same_catalog_value_type(source: &ColumnType, target: &ColumnType) -> bool {
48 match (source, target) {
49 (ColumnType::Domain { oid: source, .. }, ColumnType::Domain { oid: target, .. }) => {
50 source == target
51 }
52 (ColumnType::Composite(source), ColumnType::Composite(target)) => source.oid == target.oid,
53 (ColumnType::Domain { base, .. }, ColumnType::Composite(_)) => {
54 same_catalog_value_type(base, target)
55 }
56 (ColumnType::Array(source), ColumnType::Array(target)) => {
57 same_catalog_value_type(source, target)
58 }
59 _ => false,
60 }
61}
62
63pub fn coerce_json_value(value: Value, jsonb: bool) -> Result<Value, SQLError> {
64 crate::expr::cast_value(&value, if jsonb { "jsonb" } else { "json" })
65}
66
67pub fn convert_declared_value_to_column_type(
68 context: &dyn AssignmentContext,
69 value: Value,
70 source_ty: &ColumnType,
71 target_ty: &ColumnType,
72) -> Result<Value, SQLError> {
73 match (source_ty, target_ty) {
74 (ColumnType::Domain { base, .. }, target) => {
75 convert_declared_value_to_column_type(context, value, base, target)
76 }
77 (source, ColumnType::Domain { base, .. }) => {
78 convert_declared_value_to_column_type(context, value, source, base)
79 }
80 (ColumnType::Array(source), ColumnType::Array(target)) => {
81 let Value::Array(array) = value else {
82 return Err(SQLError::TypeMismatch(format!(
83 "cannot cast a non-array value to {}[]",
84 column_type_name(target)
85 )));
86 };
87 let source = array_scalar_type(source);
88 let target = array_scalar_type(target);
89 let converted =
90 convert_declared_array_elements(context, array.elements(), source, target)?;
91 ArrayValue::with_lower_bounds(converted, array.lower_bounds().to_vec())
92 .map(Value::Array)
93 .ok_or_else(|| {
94 SQLError::TypeMismatch(
95 "multidimensional arrays must have matching dimensions".into(),
96 )
97 })
98 }
99 (ColumnType::Range(source), ColumnType::Range(target)) if source == target => {
100 crate::expr::cast_value_from(&value, target.range_name(), Some(source.range_name()))
101 }
102 (ColumnType::Range(source), ColumnType::Multirange(target)) if source == target => {
103 crate::expr::cast_value_from(
104 &value,
105 target.multirange_name(),
106 Some(source.range_name()),
107 )
108 }
109 (ColumnType::Multirange(source), ColumnType::Multirange(target)) if source == target => {
110 crate::expr::cast_value_from(
111 &value,
112 target.multirange_name(),
113 Some(source.multirange_name()),
114 )
115 }
116 (_, ColumnType::Range(_) | ColumnType::Multirange(_)) => {
117 Err(SQLError::TypeMismatch(format!(
118 "column cannot be cast automatically from type {} to type {}",
119 column_type_name(source_ty),
120 column_type_name(target_ty)
121 )))
122 }
123 (source, ColumnType::Oid)
124 if matches!(
125 source,
126 ColumnType::SmallInteger
127 | ColumnType::Integer
128 | ColumnType::BigInteger
129 | ColumnType::Oid
130 | ColumnType::Regproc
131 | ColumnType::Regprocedure
132 | ColumnType::Regclass
133 | ColumnType::Regnamespace
134 | ColumnType::Regrole
135 | ColumnType::Regtype
136 ) =>
137 {
138 crate::expr::cast_value_from(&value, "oid", Some(column_type_name(source)))
139 }
140 (ColumnType::Xid, ColumnType::Xid) => Ok(value),
141 (ColumnType::Bytea, ColumnType::Bytea) => Ok(value),
142 (_, ColumnType::Oid | ColumnType::Xid | ColumnType::Bytea) => {
143 Err(SQLError::TypeMismatch(format!(
144 "column cannot be cast automatically from type {} to type {}",
145 column_type_name(source_ty),
146 column_type_name(target_ty)
147 )))
148 }
149 _ => convert_value_to_column_type_with_context(context, value, target_ty),
150 }
151}
152
153pub(crate) fn type_requires_catalog_resolution(ty: &ColumnType) -> bool {
155 match ty {
156 ColumnType::Regrole
158 | ColumnType::Regclass
159 | ColumnType::Regtype
160 | ColumnType::Regproc
161 | ColumnType::Regprocedure
162 | ColumnType::Regnamespace
163 | ColumnType::Domain { .. }
164 | ColumnType::Enum(_)
165 | ColumnType::Composite(_)
166 | ColumnType::TimestampTz
167 | ColumnType::TimestampTzPrecision(_) => true,
168 ColumnType::Array(element) => type_requires_catalog_resolution(element),
169 _ => false,
170 }
171}
172
173pub fn convert_value_to_column_type_with_context(
174 context: &dyn AssignmentContext,
175 value: Value,
176 ty: &ColumnType,
177) -> Result<Value, SQLError> {
178 let value = if textual_target(ty) && crate::expr::enums::contains_enum_carrier(&value) {
180 crate::expr::enums::render_enum_labels(
181 crate::expr::EngineHook::enum_labels(context),
182 &value,
183 )?
184 } else {
185 value
186 };
187 if let Some(value) = super::domain::assign_domain_value(context, &value, ty)? {
188 return Ok(value);
189 }
190 if matches!(value, Value::Null) {
191 return Ok(Value::Null);
192 }
193 if let ColumnType::Array(element) = ty {
194 if type_requires_catalog_resolution(element) {
195 return convert_catalog_array(context, value, element);
196 }
197 }
198 if type_requires_catalog_resolution(ty) {
199 return crate::expr::cast_value_with_type_resolution(
200 &value,
201 None,
202 &ty.catalog_name(),
203 Some(context),
204 );
205 }
206 convert_value_to_column_type(value, ty)
207}
208
209fn textual_target(ty: &ColumnType) -> bool {
210 match ty {
211 ColumnType::Array(element) => textual_target(element),
212 other => other.is_character_string(),
213 }
214}
215
216fn convert_catalog_array(
217 context: &dyn AssignmentContext,
218 value: Value,
219 element: &ColumnType,
220) -> Result<Value, SQLError> {
221 let array = match value {
222 Value::Array(array) => array,
223 Value::Str(text) => crate::expr::parse_pg_array_literal(&text)?,
224 other => {
225 return Err(SQLError::TypeMismatch(format!(
226 "expected an array, got {other:?}"
227 )))
228 }
229 };
230 let values = convert_catalog_array_elements(context, array.elements(), element)?;
231 ArrayValue::with_lower_bounds(values, array.lower_bounds().to_vec())
232 .map(Value::Array)
233 .ok_or_else(|| {
234 SQLError::TypeMismatch("multidimensional arrays must have matching dimensions".into())
235 })
236}
237
238fn convert_catalog_array_elements(
239 context: &dyn AssignmentContext,
240 values: &[Value],
241 element: &ColumnType,
242) -> Result<Vec<Value>, SQLError> {
243 let mut element = element;
244 while let ColumnType::Array(nested) = element {
245 element = nested;
246 }
247 values
248 .iter()
249 .map(|value| match value {
250 Value::List(values) => {
251 convert_catalog_array_elements(context, values, element).map(Value::List)
252 }
253 value => convert_value_to_column_type_with_context(context, value.clone(), element),
254 })
255 .collect()
256}
257
258mod production;
259pub use production::{convert_value_to_column_type_with_control, numeric_field_overflow};
260
261pub fn convert_value_to_column_type(value: Value, ty: &ColumnType) -> Result<Value, SQLError> {
262 let control = uqa_core::memory::ProductionControl::uncontrolled();
263 convert_value_to_column_type_with_control(control.finish(value, None)?, ty, &control)?
264 .into_uncontrolled()
265 .map_err(|_| SQLError::Internal("ordinary assignment production owner".into()))
266}
267
268fn convert_declared_array_elements(
269 context: &dyn AssignmentContext,
270 elements: &[Value],
271 source_type: &ColumnType,
272 target_type: &ColumnType,
273) -> Result<Vec<Value>, SQLError> {
274 elements
275 .iter()
276 .cloned()
277 .map(|element| match element {
278 Value::List(nested) => {
279 convert_declared_array_elements(context, &nested, source_type, target_type)
280 .map(Value::List)
281 }
282 scalar => {
283 convert_declared_value_to_column_type(context, scalar, source_type, target_type)
284 }
285 })
286 .collect()
287}
288
289fn array_scalar_type(mut ty: &ColumnType) -> &ColumnType {
290 while let ColumnType::Array(element) = ty {
291 ty = element;
292 }
293 ty
294}
295
296pub fn validate_vector_dimensions(expected: u32, actual: usize) -> Result<(), SQLError> {
297 let expected = usize::try_from(expected).map_err(|_| {
298 SQLError::TypeMismatch(format!(
299 "declared vector dimension {expected} exceeds the platform usize range"
300 ))
301 })?;
302 if actual == expected {
303 Ok(())
304 } else {
305 Err(SQLError::VectorDimMismatch { expected, actual })
306 }
307}
308
309pub use crate::catalog::type_metadata::column_type_name;
310
311pub use crate::expr::value_to_text;
312
313pub fn json_to_core_value(json: serde_json::Value) -> Value {
314 match json {
315 serde_json::Value::Null => Value::Null,
316 serde_json::Value::Bool(b) => Value::Bool(b),
317 serde_json::Value::Number(n) => {
318 if let Some(i) = n.as_i64() {
319 Value::Int(i)
320 } else if let Some(d) = DecimalValue::parse(&n.to_string()) {
321 Value::Decimal(d)
322 } else if let Some(f) = n.as_f64() {
323 Value::Float(f)
324 } else {
325 Value::Null
326 }
327 }
328 serde_json::Value::String(s) => Value::Str(s),
329 serde_json::Value::Array(items) => {
330 Value::List(items.into_iter().map(json_to_core_value).collect())
331 }
332 serde_json::Value::Object(obj) => {
333 if let Ok(temporal) =
334 serde_json::from_value::<TemporalValue>(serde_json::Value::Object(obj.clone()))
335 {
336 return Value::Temporal(temporal);
337 }
338 Value::Map(
339 obj.into_iter()
340 .map(|(k, v)| (k, json_to_core_value(v)))
341 .collect(),
342 )
343 }
344 }
345}
346
347pub use crate::expr::core_value_to_json;
348
349pub fn json_table_value_to_text(value: &serde_json::Value) -> Value {
350 match value {
351 serde_json::Value::Null => Value::Null,
352 serde_json::Value::String(s) => Value::Str(s.clone()),
353 serde_json::Value::Bool(b) => Value::Str(b.to_string()),
354 serde_json::Value::Number(n) => Value::Str(n.to_string()),
355 serde_json::Value::Array(_) | serde_json::Value::Object(_) => Value::Str(value.to_string()),
356 }
357}
358
359pub fn json_table_arg(value: &Value, name: &str) -> Result<serde_json::Value, SQLError> {
360 match value {
361 Value::Json(s) | Value::JsonB(s) | Value::Str(s) => {
362 serde_json::from_str::<serde_json::Value>(s)
363 .map_err(|e| SQLError::TypeMismatch(format!("{name}: invalid JSON: {e}")))
364 }
365 other => core_value_to_json(other),
366 }
367}