revert adding props to fields
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@ -1,3 +1,4 @@
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import inspect
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import json
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import uuid
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from typing import (
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@ -74,7 +75,7 @@ class NewBaseModel(
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# noinspection PyMissingConstructor
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def __init__(self, *args: Any, **kwargs: Any) -> None: # type: ignore
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caller_name = inspect.currentframe().f_back.f_code.co_name
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object.__setattr__(self, "_orm_id", uuid.uuid4().hex)
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object.__setattr__(self, "_orm_saved", False)
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object.__setattr__(
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@ -96,6 +97,8 @@ class NewBaseModel(
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if "pk" in kwargs:
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kwargs[self.Meta.pkname] = kwargs.pop("pk")
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# build the models to set them and validate but don't register
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if self.Meta.include_props_in_dict:
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kwargs = {k: v for k, v in kwargs.items() if k not in object.__getattribute__(self, '_props')}
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try:
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new_kwargs: Dict[str, Any] = {
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k: self._convert_json(
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@ -174,7 +177,7 @@ class NewBaseModel(
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return object.__getattribute__(self, item) # pragma: no cover
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def _extract_related_model_instead_of_field(
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self, item: str
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self, item: str
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) -> Optional[Union["T", Sequence["T"]]]:
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if item in self._orm:
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return self._orm.get(item)
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@ -187,9 +190,9 @@ class NewBaseModel(
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def __same__(self, other: "NewBaseModel") -> bool:
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return (
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self._orm_id == other._orm_id
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or (self.pk == other.pk and self.pk is not None)
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or self.dict() == other.dict()
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self._orm_id == other._orm_id
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or (self.pk == other.pk and self.pk is not None)
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or self.dict() == other.dict()
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)
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@classmethod
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@ -223,7 +226,7 @@ class NewBaseModel(
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@classmethod
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def get_properties(
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cls, include: Union[Set, Dict, None], exclude: Union[Set, Dict, None]
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cls, include: Union[Set, Dict, None], exclude: Union[Set, Dict, None]
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) -> Set[str]:
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props = cls._props
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@ -234,7 +237,7 @@ class NewBaseModel(
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return props
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def _get_related_not_excluded_fields(
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self, include: Optional[Dict], exclude: Optional[Dict],
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self, include: Optional[Dict], exclude: Optional[Dict],
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) -> List:
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fields = [field for field in self.extract_related_names()]
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if include:
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@ -249,15 +252,15 @@ class NewBaseModel(
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@staticmethod
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def _extract_nested_models_from_list(
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models: MutableSequence,
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include: Union[Set, Dict, None],
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exclude: Union[Set, Dict, None],
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models: MutableSequence,
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include: Union[Set, Dict, None],
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exclude: Union[Set, Dict, None],
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) -> List:
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result = []
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for model in models:
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try:
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result.append(
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model.dict(nested=True, include=include, exclude=exclude,)
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model.dict(nested=True, include=include, exclude=exclude, )
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)
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except ReferenceError: # pragma no cover
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continue
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@ -265,17 +268,17 @@ class NewBaseModel(
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@staticmethod
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def _skip_ellipsis(
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items: Union[Set, Dict, None], key: str
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items: Union[Set, Dict, None], key: str
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) -> Union[Set, Dict, None]:
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result = Excludable.get_child(items, key)
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return result if result is not Ellipsis else None
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def _extract_nested_models( # noqa: CCR001
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self,
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nested: bool,
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dict_instance: Dict,
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include: Optional[Dict],
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exclude: Optional[Dict],
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self,
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nested: bool,
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dict_instance: Dict,
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include: Optional[Dict],
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exclude: Optional[Dict],
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) -> Dict:
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fields = self._get_related_not_excluded_fields(include=include, exclude=exclude)
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@ -301,17 +304,19 @@ class NewBaseModel(
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return dict_instance
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def dict( # type: ignore # noqa A003
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self,
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*,
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include: Union[Set, Dict] = None,
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exclude: Union[Set, Dict] = None,
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by_alias: bool = False,
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skip_defaults: bool = None,
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exclude_unset: bool = False,
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exclude_defaults: bool = False,
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exclude_none: bool = False,
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nested: bool = False,
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self,
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*,
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include: Union[Set, Dict] = None,
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exclude: Union[Set, Dict] = None,
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by_alias: bool = False,
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skip_defaults: bool = None,
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exclude_unset: bool = False,
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exclude_defaults: bool = False,
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exclude_none: bool = False,
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nested: bool = False,
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) -> "DictStrAny": # noqa: A003'
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# callable_name = inspect.currentframe().f_back.f_code.co_name
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# print('dict', callable_name)
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dict_instance = super().dict(
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include=include,
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exclude=self._update_excluded_with_related_not_required(exclude, nested),
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@ -367,6 +372,6 @@ class NewBaseModel(
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def _is_conversion_to_json_needed(self, column_name: str) -> bool:
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return (
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column_name in self.Meta.model_fields
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and self.Meta.model_fields[column_name].__type__ == pydantic.Json
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column_name in self.Meta.model_fields
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and self.Meta.model_fields[column_name].__type__ == pydantic.Json
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)
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