fix default_factory which takes data on more types

Author: davidhewitt

src/validators/dataclass.rs

@@ -157,6 +157,8 @@ impl Validator for DataclassArgsValidator {
         let mut used_keys: AHashSet<&str> = AHashSet::with_capacity(self.fields.len());
 
         let state = &mut state.rebind_extra(|extra| extra.data = Some(output_dict.clone()));
+        let state = &mut state.scoped_set(|state| &mut state.has_field_error, false);
+
         let extra_behavior = state.extra_behavior_or(self.extra_behavior);
 
         let validate_by_alias = state.validate_by_alias_or(self.validate_by_alias);
@@ -219,6 +221,8 @@ impl Validator for DataclassArgsValidator {
 
             let state = &mut state.rebind_extra(|extra| extra.field_name = Some(field.name_py.bind(py).clone()));
 
+            // FIXME: need to add support for `has_field_error` here
+
             match (pos_value, kw_value) {
                 // found both positional and keyword arguments, error
                 (Some(_), Some((_, kw_value))) => {
@@ -235,6 +239,7 @@ impl Validator for DataclassArgsValidator {
                         fields_set_count += 1;
                     }
                     Err(ValError::LineErrors(line_errors)) => {
+                        state.has_field_error = true;
                         errors.extend(line_errors.into_iter().map(|err| err.with_outer_location(index)));
                     }
                     Err(err) => return Err(err),
@@ -246,6 +251,7 @@ impl Validator for DataclassArgsValidator {
                         fields_set_count += 1;
                     }
                     Err(ValError::LineErrors(line_errors)) => {
+                        state.has_field_error = true;
                         errors.extend(
                             line_errors
                                 .into_iter()
@@ -272,6 +278,7 @@ impl Validator for DataclassArgsValidator {
                         }
                         Err(ValError::Omit) => {}
                         Err(ValError::LineErrors(line_errors)) => {
+                            state.has_field_error = true;
                             for err in line_errors {
                                 // Note: this will always use the field name even if there is an alias
                                 // However, we don't mind so much because this error can only happen if the

src/validators/model_fields.rs

@@ -179,6 +179,7 @@ impl Validator for ModelFieldsValidator {
 
         {
             let state = &mut state.rebind_extra(|extra| extra.data = Some(model_dict.clone()));
+            let state = &mut state.scoped_set(|state| &mut state.has_field_error, false);
 
             for field in &self.fields {
                 let lookup_key = field
@@ -242,6 +243,7 @@ impl Validator for ModelFieldsValidator {
                     }
                     Err(ValError::Omit) => {}
                     Err(ValError::LineErrors(line_errors)) => {
+                        state.has_field_error = true;
                         for err in line_errors {
                             // Note: this will always use the field name even if there is an alias
                             // However, we don't mind so much because this error can only happen if the

src/validators/typed_dict.rs

@@ -185,6 +185,7 @@ impl Validator for TypedDictValidator {
 
         {
             let state = &mut state.rebind_extra(|extra| extra.data = Some(output_dict.clone()));
+            let state = &mut state.scoped_set(|state| &mut state.has_field_error, false);
 
             let mut fields_set_count: usize = 0;
 
@@ -229,15 +230,25 @@ impl Validator for TypedDictValidator {
                             output_dict.set_item(&field.name_py, value)?;
                             fields_set_count += 1;
                         }
-                        Err(ValError::Omit) => continue,
-                        Err(ValError::LineErrors(line_errors)) => {
-                            if !is_last_partial || field.required {
-                                for err in line_errors {
-                                    errors.push(lookup_path.apply_error_loc(err, self.loc_by_alias, &field.name));
+                        Err(e) => {
+                            // FIXME handle the different error types better?
+                            state.has_field_error = true;
+                            match e {
+                                ValError::Omit => {}
+                                ValError::LineErrors(line_errors) => {
+                                    if !is_last_partial || field.required {
+                                        for err in line_errors {
+                                            errors.push(lookup_path.apply_error_loc(
+                                                err,
+                                                self.loc_by_alias,
+                                                &field.name,
+                                            ));
+                                        }
+                                    }
                                 }
+                                err => return Err(err),
                             }
                         }
-                        Err(err) => return Err(err),
                     }
                     continue;
                 }
@@ -260,6 +271,7 @@ impl Validator for TypedDictValidator {
                     }
                     Err(ValError::Omit) => {}
                     Err(ValError::LineErrors(line_errors)) => {
+                        state.has_field_error = true;
                         for err in line_errors {
                             // Note: this will always use the field name even if there is an alias
                             // However, we don't mind so much because this error can only happen if the

src/validators/validation_state.rs

@@ -1,3 +1,5 @@
+use std::ops::{Deref, DerefMut};
+
 use pyo3::prelude::*;
 use pyo3::types::PyString;
 
@@ -29,6 +31,9 @@ pub struct ValidationState<'a, 'py> {
     // Whether at least one field had a validation error. This is used in the context of structured types
     // (models, dataclasses, etc), where we need to know if a validation error occurred before calling
     // a default factory that takes the validated data.
+    //
+    // TODO: this should probably be moved directly into the structured types which need it, but that
+    // requires some refactoring to make them have knowledge of default (factories).
     pub has_field_error: bool,
     // deliberately make Extra readonly
     extra: Extra<'a, 'py>,
@@ -58,6 +63,26 @@ impl<'a, 'py> ValidationState<'a, 'py> {
         ValidationStateWithReboundExtra { state: self, old_extra }
     }
 
+    /// Temporarily rebinds a field of the state by calling `projector` to get a mutable reference to the field,
+    /// and setting that field to `value`.
+    ///
+    /// When `ScopedSetState` drops, the field is restored to its original value.
+    pub fn scoped_set<'state, P, T>(
+        &'state mut self,
+        projector: P,
+        new_value: T,
+    ) -> ScopedSetState<'state, 'a, 'py, P, T>
+    where
+        P: for<'p> Fn(&'p mut ValidationState<'a, 'py>) -> &'p mut T,
+    {
+        let value = std::mem::replace((projector)(self), new_value);
+        ScopedSetState {
+            state: self,
+            projector,
+            value,
+        }
+    }
+
     pub fn extra(&self) -> &'_ Extra<'a, 'py> {
         &self.extra
     }
@@ -176,3 +201,44 @@ impl<I: Iterator> Iterator for EnumerateLastPartial<I> {
         self.iter.size_hint()
     }
 }
+
+pub struct ScopedSetState<'scope, 'a, 'py, P, T>
+where
+    P: for<'p> Fn(&'p mut ValidationState<'a, 'py>) -> &'p mut T,
+{
+    /// The state which has been set for the scope.
+    state: &'scope mut ValidationState<'a, 'py>,
+    /// A function that projects from the state to the field that has been set.
+    projector: P,
+    /// The previous value of the field that has been set.
+    value: T,
+}
+
+impl<'a, 'py, P, T> Drop for ScopedSetState<'_, 'a, 'py, P, T>
+where
+    P: for<'drop> Fn(&'drop mut ValidationState<'a, 'py>) -> &'drop mut T,
+{
+    fn drop(&mut self) {
+        std::mem::swap((self.projector)(self.state), &mut self.value);
+    }
+}
+
+impl<'a, 'py, P, T> Deref for ScopedSetState<'_, 'a, 'py, P, T>
+where
+    P: for<'p> Fn(&'p mut ValidationState<'a, 'py>) -> &'p mut T,
+{
+    type Target = ValidationState<'a, 'py>;
+
+    fn deref(&self) -> &Self::Target {
+        self.state
+    }
+}
+
+impl<'a, 'py, P, T> DerefMut for ScopedSetState<'_, 'a, 'py, P, T>
+where
+    P: for<'p> Fn(&'p mut ValidationState<'a, 'py>) -> &'p mut T,
+{
+    fn deref_mut(&mut self) -> &mut ValidationState<'a, 'py> {
+        self.state
+    }
+}

tests/validators/test_with_default.py

@@ -2,6 +2,7 @@
 import sys
 import weakref
 from collections import deque
+from dataclasses import dataclass
 from typing import Any, Callable, Union, cast
 
 import pytest
@@ -16,6 +17,7 @@
     ValidationError,
     core_schema,
 )
+from pydantic_core._pydantic_core import SchemaSerializer
 
 from ..conftest import PyAndJson, assert_gc
 
@@ -822,31 +824,46 @@ def _raise(ex: Exception) -> None:
     assert exc_info.value.errors(include_url=False, include_context=False) == expected
 
 
-def test_default_factory_not_called_if_existing_error(pydantic_version) -> None:
-    class Test:
-        def __init__(self, a: int, b: int):
-            self.a = a
-            self.b = b
+@pytest.fixture(params=['model', 'typed_dict', 'dataclass', 'arguments_v3'])
+def container_schema_builder(
+    request: pytest.FixtureRequest,
+) -> Callable[[dict[str, core_schema.CoreSchema]], core_schema.CoreSchema]:
+    if request.param == 'model':
+        return lambda fields: core_schema.model_schema(
+            cls=type('Test', (), {}),
+            schema=core_schema.model_fields_schema(
+                fields={k: core_schema.model_field(schema=v) for k, v in fields.items()},
+            ),
+        )
+    elif request.param == 'typed_dict':
+        return lambda fields: core_schema.typed_dict_schema(
+            fields={k: core_schema.typed_dict_field(schema=v) for k, v in fields.items()}
+        )
+    elif request.param == 'dataclass':
+        return lambda fields: core_schema.dataclass_schema(
+            cls=dataclass(type('Test', (), {})),
+            schema=core_schema.dataclass_args_schema(
+                'Test',
+                fields=[core_schema.dataclass_field(name=k, schema=v) for k, v in fields.items()],
+            ),
+            fields=[k for k in fields.keys()],
+        )
+    elif request.param == 'arguments_v3':
+        # TODO: open an issue for this
+        raise pytest.xfail('arguments v3 does not yet support default_factory_takes_data properly')
+    else:
+        raise ValueError(f'Unknown container type {request.param}')
 
-    schema = core_schema.model_schema(
-        cls=Test,
-        schema=core_schema.model_fields_schema(
-            computed_fields=[],
-            fields={
-                'a': core_schema.model_field(
-                    schema=core_schema.int_schema(),
-                ),
-                'b': core_schema.model_field(
-                    schema=core_schema.with_default_schema(
-                        schema=core_schema.int_schema(),
-                        default_factory=lambda data: data['a'],
-                        default_factory_takes_data=True,
-                    ),
-                ),
-            },
-        ),
-    )
 
+def test_default_factory_not_called_if_existing_error(container_schema_builder, pydantic_version) -> None:
+    schema = container_schema_builder(
+        {
+            'a': core_schema.int_schema(),
+            'b': core_schema.with_default_schema(
+                schema=core_schema.int_schema(), default_factory=lambda data: data['a'], default_factory_takes_data=True
+            ),
+        }
+    )
     v = SchemaValidator(schema)
     with pytest.raises(ValidationError) as e:
         v.validate_python({'a': 'not_an_int'})
@@ -868,11 +885,85 @@ def __init__(self, a: int, b: int):
 
     assert (
         str(e.value)
-        == f"""2 validation errors for Test
+        == f"""2 validation errors for {v.title}
+a
+  Input should be a valid integer, unable to parse string as an integer [type=int_parsing, input_value='not_an_int', input_type=str]
+    For further information visit https://errors.pydantic.dev/{pydantic_version}/v/int_parsing
+b
+  The default factory uses validated data, but at least one validation error occurred [type=default_factory_not_called]
+    For further information visit https://errors.pydantic.dev/{pydantic_version}/v/default_factory_not_called"""
+    )
+
+    # repeat with the first field being a default which validates incorrectly
+
+    schema = container_schema_builder(
+        {
+            'a': core_schema.with_default_schema(
+                schema=core_schema.int_schema(), default='not_an_int', validate_default=True
+            ),
+            'b': core_schema.with_default_schema(
+                schema=core_schema.int_schema(), default_factory=lambda data: data['a'], default_factory_takes_data=True
+            ),
+        }
+    )
+    v = SchemaValidator(schema)
+    with pytest.raises(ValidationError) as e:
+        v.validate_python({})
+
+    assert e.value.errors(include_url=False) == [
+        {
+            'type': 'int_parsing',
+            'loc': ('a',),
+            'msg': 'Input should be a valid integer, unable to parse string as an integer',
+            'input': 'not_an_int',
+        },
+        {
+            'input': PydanticUndefined,
+            'loc': ('b',),
+            'msg': 'The default factory uses validated data, but at least one validation error occurred',
+            'type': 'default_factory_not_called',
+        },
+    ]
+
+    assert (
+        str(e.value)
+        == f"""2 validation errors for {v.title}
 a
   Input should be a valid integer, unable to parse string as an integer [type=int_parsing, input_value='not_an_int', input_type=str]
     For further information visit https://errors.pydantic.dev/{pydantic_version}/v/int_parsing
 b
   The default factory uses validated data, but at least one validation error occurred [type=default_factory_not_called]
     For further information visit https://errors.pydantic.dev/{pydantic_version}/v/default_factory_not_called"""
     )
+
+
+def test_default_factory_not_called_union_ok(container_schema_builder) -> None:
+    schema_fail = container_schema_builder(
+        {
+            'a': core_schema.none_schema(),
+            'b': core_schema.with_default_schema(
+                schema=core_schema.int_schema(),
+                default_factory=lambda data: data['a'],
+                default_factory_takes_data=True,
+            ),
+        }
+    )
+
+    schema_ok = container_schema_builder(
+        {
+            'a': core_schema.int_schema(),
+            'b': core_schema.with_default_schema(
+                schema=core_schema.int_schema(),
+                default_factory=lambda data: data['a'] + 1,
+                default_factory_takes_data=True,
+            ),
+            # this is used to show that this union member was selected
+            'c': core_schema.with_default_schema(schema=core_schema.int_schema(), default=3),
+        }
+    )
+
+    schema = core_schema.union_schema([schema_fail, schema_ok])
+
+    v = SchemaValidator(schema)
+    s = SchemaSerializer(schema)
+    assert s.to_python(v.validate_python({'a': 1}), mode='json') == {'a': 1, 'b': 2, 'c': 3}