Merge pull request frappe#21276 from gavindsouza/bump-pydantic-v2

build(deps): Bump Pydantic from v1 to v2

frappe/app.py

@@ -33,6 +33,8 @@
 
 # If gc.freeze is done then importing modules before forking allows us to share the memory
 if frappe._tune_gc:
+	import pydantic
+
 	import frappe.boot
 	import frappe.client
 	import frappe.core.doctype.user.user

frappe/tests/test_utils.py

@@ -1163,3 +1163,44 @@ def test_bankers_rounding_property(self, number, precision):
 
 	def test_default_rounding(self):
 		self.assertEqual(frappe.get_system_settings("rounding_method"), "Banker's Rounding")
+
+
+class TestTypingValidations(FrappeTestCase):
+	def test_validate_argument_types(self):
+		from frappe.core.doctype.doctype.doctype import DocType
+		from frappe.utils.typing_validations import FrappeTypeError, validate_argument_types
+
+		@validate_argument_types
+		def test_simple_types(a: int, b: float, c: bool):
+			return a, b, c
+
+		@validate_argument_types
+		def test_sequence(a: str, b: list[dict] | None = None, c: dict[str, int] | None = None):
+			return a, b, c
+
+		@validate_argument_types
+		def test_doctypes(a: DocType | dict):
+			return a
+
+		self.assertEqual(test_simple_types(True, 2.0, True), (1, 2.0, True))
+		self.assertEqual(test_simple_types(1, 2, 1), (1, 2.0, True))
+		self.assertEqual(test_simple_types(1.0, 2, 1), (1, 2.0, True))
+		self.assertEqual(test_simple_types(1, 2, "1"), (1, 2.0, True))
+		with self.assertRaises(FrappeTypeError):
+			test_simple_types(1, 2, "a")
+		with self.assertRaises(FrappeTypeError):
+			test_simple_types(1, 2, None)
+
+		self.assertEqual(test_sequence("a", [{"a": 1}], {"a": 1}), ("a", [{"a": 1}], {"a": 1}))
+		self.assertEqual(test_sequence("a", None, None), ("a", None, None))
+		self.assertEqual(test_sequence("a", [{"a": 1}], None), ("a", [{"a": 1}], None))
+		self.assertEqual(test_sequence("a", None, {"a": 1}), ("a", None, {"a": 1}))
+		self.assertEqual(test_sequence("a", [{"a": 1}], {"a": "1.0"}), ("a", [{"a": 1}], {"a": 1}))
+		with self.assertRaises(FrappeTypeError):
+			test_sequence("a", [{"a": 1}], True)
+
+		doctype = frappe.get_last_doc("DocType")
+		self.assertEqual(test_doctypes(doctype), doctype)
+		self.assertEqual(test_doctypes(doctype.as_dict()), doctype.as_dict())
+		with self.assertRaises(FrappeTypeError):
+			test_doctypes("a")

frappe/utils/typing_validations.py

@@ -1,11 +1,7 @@
 from functools import lru_cache, wraps
 from inspect import _empty, isclass, signature
 from types import EllipsisType
-from typing import Any, Callable, ForwardRef, TypeVar, Union
-
-from pydantic.config import BaseConfig
-from pydantic.error_wrappers import ValidationError as PyValidationError
-from pydantic.tools import NameFactory, _generate_parsing_type_name
+from typing import Callable, ForwardRef, TypeVar, Union
 
 from frappe.exceptions import FrappeTypeError
 
@@ -69,29 +65,10 @@ def raise_type_error(
 
 
 @lru_cache(maxsize=2048)
-def _get_parsing_type(
-	type_: Any, *, type_name: NameFactory | None = None, config: type[BaseConfig] = None
-) -> Any:
-	# Note: this is a copy of pydantic.tools._get_parsing_type with the addition of allowing a config argument
-	from pydantic.main import create_model
-
-	if type_name is None:
-		type_name = _generate_parsing_type_name
-	if not isinstance(type_name, str):
-		type_name = type_name(type_)
-	return create_model(type_name, __root__=(type_, ...), __config__=config)
-
-
-def parse_obj_as(
-	type_: type[T],
-	obj: Any,
-	*,
-	type_name: NameFactory | None = None,
-	config: type[BaseConfig] | None = None,
-) -> T:
-	# Note: This is a copy of pydantic.tools.parse_obj_as with the addition of allowing a config argument
-	model_type = _get_parsing_type(type_, type_name=type_name, config=config)  # type: ignore[arg-type]
-	return model_type(__root__=obj).__root__
+def TypeAdapter(type_):
+	from pydantic import TypeAdapter as PyTypeAdapter
+
+	return PyTypeAdapter(type_, config=FrappePydanticConfig)
 
 
 def transform_parameter_types(func: Callable, args: tuple, kwargs: dict):
@@ -103,6 +80,8 @@ def transform_parameter_types(func: Callable, args: tuple, kwargs: dict):
 	if not (args or kwargs) or not func.__annotations__:
 		return args, kwargs
 
+	from pydantic import ValidationError as PyValidationError
+
 	annotations = func.__annotations__
 	new_args, new_kwargs = list(args), kwargs
 
@@ -157,9 +136,7 @@ def transform_parameter_types(func: Callable, args: tuple, kwargs: dict):
 
 		# validate the type set using pydantic - raise a TypeError if Validation is raised or Ellipsis is returned
 		try:
-			current_arg_value_after = parse_obj_as(
-				current_arg_type, current_arg_value, type_name=current_arg, config=FrappePydanticConfig
-			)
+			current_arg_value_after = TypeAdapter(current_arg_type).validate_python(current_arg_value)
 		except (TypeError, PyValidationError) as e:
 			raise_type_error(current_arg, current_arg_type, current_arg_value, current_exception=e)
 

pyproject.toml

@@ -53,7 +53,7 @@ dependencies = [
     "psycopg2-binary~=2.9.1",
     "pyOpenSSL~=23.2.0",
     "pycryptodome~=3.18.0",
-    "pydantic~=1.10.8",
+    "pydantic==2.0",
     "pyotp~=2.8.0",
     "python-dateutil~=2.8.2",
     "pytz==2023.3",