AlkantarClanX12
Your IP : 52.15.68.97
from __future__ import annotations
from typing import TYPE_CHECKING, Callable, Generic, TypeVar
from pydantic_core import SchemaSerializer, SchemaValidator
from typing_extensions import Literal
from ..errors import PydanticErrorCodes, PydanticUserError
if TYPE_CHECKING:
from ..dataclasses import PydanticDataclass
from ..main import BaseModel
ValSer = TypeVar('ValSer', SchemaValidator, SchemaSerializer)
class MockValSer(Generic[ValSer]):
"""Mocker for `pydantic_core.SchemaValidator` or `pydantic_core.SchemaSerializer` which optionally attempts to
rebuild the thing it's mocking when one of its methods is accessed and raises an error if that fails.
"""
__slots__ = '_error_message', '_code', '_val_or_ser', '_attempt_rebuild'
def __init__(
self,
error_message: str,
*,
code: PydanticErrorCodes,
val_or_ser: Literal['validator', 'serializer'],
attempt_rebuild: Callable[[], ValSer | None] | None = None,
) -> None:
self._error_message = error_message
self._val_or_ser = SchemaValidator if val_or_ser == 'validator' else SchemaSerializer
self._code: PydanticErrorCodes = code
self._attempt_rebuild = attempt_rebuild
def __getattr__(self, item: str) -> None:
__tracebackhide__ = True
if self._attempt_rebuild:
val_ser = self._attempt_rebuild()
if val_ser is not None:
return getattr(val_ser, item)
# raise an AttributeError if `item` doesn't exist
getattr(self._val_or_ser, item)
raise PydanticUserError(self._error_message, code=self._code)
def rebuild(self) -> ValSer | None:
if self._attempt_rebuild:
val_ser = self._attempt_rebuild()
if val_ser is not None:
return val_ser
else:
raise PydanticUserError(self._error_message, code=self._code)
return None
def set_model_mocks(cls: type[BaseModel], cls_name: str, undefined_name: str = 'all referenced types') -> None:
"""Set `__pydantic_validator__` and `__pydantic_serializer__` to `MockValSer`s on a model.
Args:
cls: The model class to set the mocks on
cls_name: Name of the model class, used in error messages
undefined_name: Name of the undefined thing, used in error messages
"""
undefined_type_error_message = (
f'`{cls_name}` is not fully defined; you should define {undefined_name},'
f' then call `{cls_name}.model_rebuild()`.'
)
def attempt_rebuild_validator() -> SchemaValidator | None:
if cls.model_rebuild(raise_errors=False, _parent_namespace_depth=5):
return cls.__pydantic_validator__
else:
return None
cls.__pydantic_validator__ = MockValSer( # type: ignore[assignment]
undefined_type_error_message,
code='class-not-fully-defined',
val_or_ser='validator',
attempt_rebuild=attempt_rebuild_validator,
)
def attempt_rebuild_serializer() -> SchemaSerializer | None:
if cls.model_rebuild(raise_errors=False, _parent_namespace_depth=5):
return cls.__pydantic_serializer__
else:
return None
cls.__pydantic_serializer__ = MockValSer( # type: ignore[assignment]
undefined_type_error_message,
code='class-not-fully-defined',
val_or_ser='serializer',
attempt_rebuild=attempt_rebuild_serializer,
)
def set_dataclass_mock_validator(cls: type[PydanticDataclass], cls_name: str, undefined_name: str) -> None:
undefined_type_error_message = (
f'`{cls_name}` is not fully defined; you should define {undefined_name},'
f' then call `pydantic.dataclasses.rebuild_dataclass({cls_name})`.'
)
def attempt_rebuild() -> SchemaValidator | None:
from ..dataclasses import rebuild_dataclass
if rebuild_dataclass(cls, raise_errors=False, _parent_namespace_depth=5):
return cls.__pydantic_validator__
else:
return None
cls.__pydantic_validator__ = MockValSer( # type: ignore[assignment]
undefined_type_error_message,
code='class-not-fully-defined',
val_or_ser='validator',
attempt_rebuild=attempt_rebuild,
)