Add SchemaSerializer.__reduce__ method to enable pickle serializa…

…tion (#1006)

Signed-off-by: Edward Oakes <ed.nmi.oakes@gmail.com>

src/serializers/mod.rs

@@ -26,13 +26,17 @@ mod ob_type;
 mod shared;
 mod type_serializers;
 
-#[pyclass(module = "pydantic_core._pydantic_core")]
+#[pyclass(module = "pydantic_core._pydantic_core", frozen)]
 #[derive(Debug)]
 pub struct SchemaSerializer {
     serializer: CombinedSerializer,
     definitions: Definitions<CombinedSerializer>,
     expected_json_size: AtomicUsize,
     config: SerializationConfig,
+    // References to the Python schema and config objects are saved to enable
+    // reconstructing the object for pickle support (see `__reduce__`).
+    py_schema: Py<PyDict>,
+    py_config: Option<Py<PyDict>>,
 }
 
 impl SchemaSerializer {
@@ -71,15 +75,19 @@ impl SchemaSerializer {
 #[pymethods]
 impl SchemaSerializer {
     #[new]
-    pub fn py_new(schema: &PyDict, config: Option<&PyDict>) -> PyResult<Self> {
+    pub fn py_new(py: Python, schema: &PyDict, config: Option<&PyDict>) -> PyResult<Self> {
         let mut definitions_builder = DefinitionsBuilder::new();
-
         let serializer = CombinedSerializer::build(schema.downcast()?, config, &mut definitions_builder)?;
         Ok(Self {
             serializer,
             definitions: definitions_builder.finish()?,
             expected_json_size: AtomicUsize::new(1024),
             config: SerializationConfig::from_config(config)?,
+            py_schema: schema.into_py(py),
+            py_config: match config {
+                Some(c) if !c.is_empty() => Some(c.into_py(py)),
+                _ => None,
+            },
         })
     }
 
@@ -174,6 +182,14 @@ impl SchemaSerializer {
         Ok(py_bytes.into())
     }
 
+    pub fn __reduce__(slf: &PyCell<Self>) -> PyResult<(PyObject, (PyObject, PyObject))> {
+        // Enables support for `pickle` serialization.
+        let py = slf.py();
+        let cls = slf.get_type().into();
+        let init_args = (slf.get().py_schema.to_object(py), slf.get().py_config.to_object(py));
+        Ok((cls, init_args))
+    }
+
     pub fn __repr__(&self) -> String {
         format!(
             "SchemaSerializer(serializer={:#?}, definitions={:#?})",
@@ -182,6 +198,10 @@ impl SchemaSerializer {
     }
 
     fn __traverse__(&self, visit: PyVisit<'_>) -> Result<(), PyTraverseError> {
+        visit.call(&self.py_schema)?;
+        if let Some(ref py_config) = self.py_config {
+            visit.call(py_config)?;
+        }
         self.serializer.py_gc_traverse(&visit)?;
         self.definitions.py_gc_traverse(&visit)?;
         Ok(())

src/validators/mod.rs

@@ -97,12 +97,15 @@ impl PySome {
     }
 }
 
-#[pyclass(module = "pydantic_core._pydantic_core")]
+#[pyclass(module = "pydantic_core._pydantic_core", frozen)]
 #[derive(Debug)]
 pub struct SchemaValidator {
     validator: CombinedValidator,
     definitions: Definitions<CombinedValidator>,
-    schema: PyObject,
+    // References to the Python schema and config objects are saved to enable
+    // reconstructing the object for cloudpickle support (see `__reduce__`).
+    py_schema: Py<PyAny>,
+    py_config: Option<Py<PyDict>>,
     #[pyo3(get)]
     title: PyObject,
     hide_input_in_errors: bool,
@@ -121,6 +124,11 @@ impl SchemaValidator {
         for val in definitions.values() {
             val.get().unwrap().complete()?;
         }
+        let py_schema = schema.into_py(py);
+        let py_config = match config {
+            Some(c) if !c.is_empty() => Some(c.into_py(py)),
+            _ => None,
+        };
         let config_title = match config {
             Some(c) => c.get_item("title"),
             None => None,
@@ -134,18 +142,20 @@ impl SchemaValidator {
         Ok(Self {
             validator,
             definitions,
-            schema: schema.into_py(py),
+            py_schema,
+            py_config,
             title,
             hide_input_in_errors,
             validation_error_cause,
         })
     }
 
-    pub fn __reduce__(slf: &PyCell<Self>) -> PyResult<PyObject> {
+    pub fn __reduce__(slf: &PyCell<Self>) -> PyResult<(PyObject, (PyObject, PyObject))> {
+        // Enables support for `pickle` serialization.
         let py = slf.py();
-        let args = (slf.try_borrow()?.schema.to_object(py),);
-        let cls = slf.getattr("__class__")?;
-        Ok((cls, args).into_py(py))
+        let cls = slf.get_type().into();
+        let init_args = (slf.get().py_schema.to_object(py), slf.get().py_config.to_object(py));
+        Ok((cls, init_args))
     }
 
     #[pyo3(signature = (input, *, strict=None, from_attributes=None, context=None, self_instance=None))]
@@ -307,7 +317,10 @@ impl SchemaValidator {
 
     fn __traverse__(&self, visit: PyVisit<'_>) -> Result<(), PyTraverseError> {
         self.validator.py_gc_traverse(&visit)?;
-        visit.call(&self.schema)?;
+        visit.call(&self.py_schema)?;
+        if let Some(ref py_config) = self.py_config {
+            visit.call(py_config)?;
+        }
         Ok(())
     }
 }
@@ -396,7 +409,8 @@ impl<'py> SelfValidator<'py> {
         Ok(SchemaValidator {
             validator,
             definitions,
-            schema: py.None(),
+            py_schema: py.None(),
+            py_config: None,
             title: "Self Schema".into_py(py),
             hide_input_in_errors: false,
             validation_error_cause: false,

tests/serializers/test_pickling.py

@@ -0,0 +1,50 @@
+import json
+import pickle
+from datetime import timedelta
+
+import pytest
+
+from pydantic_core import core_schema
+from pydantic_core._pydantic_core import SchemaSerializer
+
+
+def repr_function(value, _info):
+    return repr(value)
+
+
+def test_basic_schema_serializer():
+    s = SchemaSerializer(core_schema.dict_schema())
+    s = pickle.loads(pickle.dumps(s))
+    assert s.to_python({'a': 1, b'b': 2, 33: 3}) == {'a': 1, b'b': 2, 33: 3}
+    assert s.to_python({'a': 1, b'b': 2, 33: 3, True: 4}, mode='json') == {'a': 1, 'b': 2, '33': 3, 'true': 4}
+    assert s.to_json({'a': 1, b'b': 2, 33: 3, True: 4}) == b'{"a":1,"b":2,"33":3,"true":4}'
+
+    assert s.to_python({(1, 2): 3}) == {(1, 2): 3}
+    assert s.to_python({(1, 2): 3}, mode='json') == {'1,2': 3}
+    assert s.to_json({(1, 2): 3}) == b'{"1,2":3}'
+
+
+@pytest.mark.parametrize(
+    'value,expected_python,expected_json',
+    [(None, 'None', b'"None"'), (1, '1', b'"1"'), ([1, 2, 3], '[1, 2, 3]', b'"[1, 2, 3]"')],
+)
+def test_schema_serializer_capturing_function(value, expected_python, expected_json):
+    # Test a SchemaSerializer that captures a function.
+    s = SchemaSerializer(
+        core_schema.any_schema(
+            serialization=core_schema.plain_serializer_function_ser_schema(repr_function, info_arg=True)
+        )
+    )
+    s = pickle.loads(pickle.dumps(s))
+    assert s.to_python(value) == expected_python
+    assert s.to_json(value) == expected_json
+    assert s.to_python(value, mode='json') == json.loads(expected_json)
+
+
+def test_schema_serializer_containing_config():
+    s = SchemaSerializer(core_schema.timedelta_schema(), config={'ser_json_timedelta': 'float'})
+    s = pickle.loads(pickle.dumps(s))
+
+    assert s.to_python(timedelta(seconds=4, microseconds=500_000)) == timedelta(seconds=4, microseconds=500_000)
+    assert s.to_python(timedelta(seconds=4, microseconds=500_000), mode='json') == 4.5
+    assert s.to_json(timedelta(seconds=4, microseconds=500_000)) == b'4.5'

tests/test.rs

@@ -46,7 +46,7 @@ mod tests {
                 ]
             }"#;
             let schema: &PyDict = py.eval(code, None, None).unwrap().extract().unwrap();
-            SchemaSerializer::py_new(schema, None).unwrap();
+            SchemaSerializer::py_new(py, schema, None).unwrap();
         });
     }
 
@@ -77,7 +77,7 @@ a = A()
             py.run(code, None, Some(locals)).unwrap();
             let a: &PyAny = locals.get_item("a").unwrap().extract().unwrap();
             let schema: &PyDict = locals.get_item("schema").unwrap().extract().unwrap();
-            let serialized: Vec<u8> = SchemaSerializer::py_new(schema, None)
+            let serialized: Vec<u8> = SchemaSerializer::py_new(py, schema, None)
                 .unwrap()
                 .to_json(py, a, None, None, None, true, false, false, false, false, true, None)
                 .unwrap()

tests/test_garbage_collection.py

@@ -27,7 +27,9 @@ class BaseModel:
         __schema__: SchemaSerializer
 
         def __init_subclass__(cls) -> None:
-            cls.__schema__ = SchemaSerializer(core_schema.model_schema(cls, GC_TEST_SCHEMA_INNER))
+            cls.__schema__ = SchemaSerializer(
+                core_schema.model_schema(cls, GC_TEST_SCHEMA_INNER), config={'ser_json_timedelta': 'float'}
+            )
 
     cache: 'WeakValueDictionary[int, Any]' = WeakValueDictionary()
 
@@ -56,7 +58,10 @@ class BaseModel:
         __validator__: SchemaValidator
 
         def __init_subclass__(cls) -> None:
-            cls.__validator__ = SchemaValidator(core_schema.model_schema(cls, GC_TEST_SCHEMA_INNER))
+            cls.__validator__ = SchemaValidator(
+                core_schema.model_schema(cls, GC_TEST_SCHEMA_INNER),
+                config=core_schema.CoreConfig(extra_fields_behavior='allow'),
+            )
 
     cache: 'WeakValueDictionary[int, Any]' = WeakValueDictionary()
 

tests/validators/test_datetime.py

@@ -1,6 +1,5 @@
 import copy
 import json
-import pickle
 import platform
 import re
 from datetime import date, datetime, time, timedelta, timezone, tzinfo
@@ -480,17 +479,6 @@ def test_tz_constraint_wrong():
         validate_core_schema(core_schema.datetime_schema(tz_constraint='wrong'))
 
 
-def test_tz_pickle() -> None:
-    """
-    https://github.com/pydantic/pydantic-core/issues/589
-    """
-    v = SchemaValidator(core_schema.datetime_schema())
-    original = datetime(2022, 6, 8, 12, 13, 14, tzinfo=timezone(timedelta(hours=-12, minutes=-15)))
-    validated = v.validate_python('2022-06-08T12:13:14-12:15')
-    assert validated == original
-    assert pickle.loads(pickle.dumps(validated)) == validated == original
-
-
 def test_tz_hash() -> None:
     v = SchemaValidator(core_schema.datetime_schema())
     lookup: Dict[datetime, str] = {}

tests/validators/test_pickling.py

@@ -0,0 +1,53 @@
+import pickle
+import re
+from datetime import datetime, timedelta, timezone
+
+import pytest
+
+from pydantic_core import core_schema, validate_core_schema
+from pydantic_core._pydantic_core import SchemaValidator, ValidationError
+
+
+def test_basic_schema_validator():
+    v = SchemaValidator(
+        validate_core_schema(
+            {'type': 'dict', 'strict': True, 'keys_schema': {'type': 'int'}, 'values_schema': {'type': 'int'}}
+        )
+    )
+    v = pickle.loads(pickle.dumps(v))
+    assert v.validate_python({'1': 2, '3': 4}) == {1: 2, 3: 4}
+    assert v.validate_python({}) == {}
+    with pytest.raises(ValidationError, match=re.escape('[type=dict_type, input_value=[], input_type=list]')):
+        v.validate_python([])
+
+
+def test_schema_validator_containing_config():
+    """
+    Verify that the config object is not lost during (de)serialization.
+    """
+    v = SchemaValidator(
+        core_schema.model_fields_schema({'f': core_schema.model_field(core_schema.str_schema())}),
+        config=core_schema.CoreConfig(extra_fields_behavior='allow'),
+    )
+    v = pickle.loads(pickle.dumps(v))
+
+    m, model_extra, fields_set = v.validate_python({'f': 'x', 'extra_field': '123'})
+    assert m == {'f': 'x'}
+    # If the config was lost during (de)serialization, the below checks would fail as
+    # the default behavior is to ignore extra fields.
+    assert model_extra == {'extra_field': '123'}
+    assert fields_set == {'f', 'extra_field'}
+
+    v.validate_assignment(m, 'f', 'y')
+    assert m == {'f': 'y'}
+
+
+def test_schema_validator_tz_pickle() -> None:
+    """
+    https://github.com/pydantic/pydantic-core/issues/589
+    """
+    v = SchemaValidator(core_schema.datetime_schema())
+    original = datetime(2022, 6, 8, 12, 13, 14, tzinfo=timezone(timedelta(hours=-12, minutes=-15)))
+    validated = v.validate_python('2022-06-08T12:13:14-12:15')
+    assert validated == original
+    assert pickle.loads(pickle.dumps(validated)) == validated == original