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Editing: copy_internals.py
from __future__ import annotations as _annotations import typing from copy import deepcopy from enum import Enum from typing import Any, Tuple import typing_extensions from .._internal import ( _model_construction, _typing_extra, _utils, ) if typing.TYPE_CHECKING: from .. import BaseModel from .._internal._utils import AbstractSetIntStr, MappingIntStrAny AnyClassMethod = classmethod[Any, Any, Any] TupleGenerator = typing.Generator[Tuple[str, Any], None, None] Model = typing.TypeVar('Model', bound='BaseModel') # should be `set[int] | set[str] | dict[int, IncEx] | dict[str, IncEx] | None`, but mypy can't cope IncEx: typing_extensions.TypeAlias = 'set[int] | set[str] | dict[int, Any] | dict[str, Any] | None' _object_setattr = _model_construction.object_setattr def _iter( self: BaseModel, to_dict: bool = False, by_alias: bool = False, include: AbstractSetIntStr | MappingIntStrAny | None = None, exclude: AbstractSetIntStr | MappingIntStrAny | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, ) -> TupleGenerator: # Merge field set excludes with explicit exclude parameter with explicit overriding field set options. # The extra "is not None" guards are not logically necessary but optimizes performance for the simple case. if exclude is not None: exclude = _utils.ValueItems.merge( {k: v.exclude for k, v in self.model_fields.items() if v.exclude is not None}, exclude ) if include is not None: include = _utils.ValueItems.merge({k: True for k in self.model_fields}, include, intersect=True) allowed_keys = _calculate_keys(self, include=include, exclude=exclude, exclude_unset=exclude_unset) # type: ignore if allowed_keys is None and not (to_dict or by_alias or exclude_unset or exclude_defaults or exclude_none): # huge boost for plain _iter() yield from self.__dict__.items() if self.__pydantic_extra__: yield from self.__pydantic_extra__.items() return value_exclude = _utils.ValueItems(self, exclude) if exclude is not None else None value_include = _utils.ValueItems(self, include) if include is not None else None if self.__pydantic_extra__ is None: items = self.__dict__.items() else: items = list(self.__dict__.items()) + list(self.__pydantic_extra__.items()) for field_key, v in items: if (allowed_keys is not None and field_key not in allowed_keys) or (exclude_none and v is None): continue if exclude_defaults: try: field = self.model_fields[field_key] except KeyError: pass else: if not field.is_required() and field.default == v: continue if by_alias and field_key in self.model_fields: dict_key = self.model_fields[field_key].alias or field_key else: dict_key = field_key if to_dict or value_include or value_exclude: v = _get_value( type(self), v, to_dict=to_dict, by_alias=by_alias, include=value_include and value_include.for_element(field_key), exclude=value_exclude and value_exclude.for_element(field_key), exclude_unset=exclude_unset, exclude_defaults=exclude_defaults, exclude_none=exclude_none, ) yield dict_key, v def _copy_and_set_values( self: Model, values: dict[str, Any], fields_set: set[str], extra: dict[str, Any] | None = None, private: dict[str, Any] | None = None, *, deep: bool, # UP006 ) -> Model: if deep: # chances of having empty dict here are quite low for using smart_deepcopy values = deepcopy(values) extra = deepcopy(extra) private = deepcopy(private) cls = self.__class__ m = cls.__new__(cls) _object_setattr(m, '__dict__', values) _object_setattr(m, '__pydantic_extra__', extra) _object_setattr(m, '__pydantic_fields_set__', fields_set) _object_setattr(m, '__pydantic_private__', private) return m @typing.no_type_check def _get_value( cls: type[BaseModel], v: Any, to_dict: bool, by_alias: bool, include: AbstractSetIntStr | MappingIntStrAny | None, exclude: AbstractSetIntStr | MappingIntStrAny | None, exclude_unset: bool, exclude_defaults: bool, exclude_none: bool, ) -> Any: from .. import BaseModel if isinstance(v, BaseModel): if to_dict: return v.model_dump( by_alias=by_alias, exclude_unset=exclude_unset, exclude_defaults=exclude_defaults, include=include, # type: ignore exclude=exclude, # type: ignore exclude_none=exclude_none, ) else: return v.copy(include=include, exclude=exclude) value_exclude = _utils.ValueItems(v, exclude) if exclude else None value_include = _utils.ValueItems(v, include) if include else None if isinstance(v, dict): return { k_: _get_value( cls, v_, to_dict=to_dict, by_alias=by_alias, exclude_unset=exclude_unset, exclude_defaults=exclude_defaults, include=value_include and value_include.for_element(k_), exclude=value_exclude and value_exclude.for_element(k_), exclude_none=exclude_none, ) for k_, v_ in v.items() if (not value_exclude or not value_exclude.is_excluded(k_)) and (not value_include or value_include.is_included(k_)) } elif _utils.sequence_like(v): seq_args = ( _get_value( cls, v_, to_dict=to_dict, by_alias=by_alias, exclude_unset=exclude_unset, exclude_defaults=exclude_defaults, include=value_include and value_include.for_element(i), exclude=value_exclude and value_exclude.for_element(i), exclude_none=exclude_none, ) for i, v_ in enumerate(v) if (not value_exclude or not value_exclude.is_excluded(i)) and (not value_include or value_include.is_included(i)) ) return v.__class__(*seq_args) if _typing_extra.is_namedtuple(v.__class__) else v.__class__(seq_args) elif isinstance(v, Enum) and getattr(cls.model_config, 'use_enum_values', False): return v.value else: return v def _calculate_keys( self: BaseModel, include: MappingIntStrAny | None, exclude: MappingIntStrAny | None, exclude_unset: bool, update: typing.Dict[str, Any] | None = None, # noqa UP006 ) -> typing.AbstractSet[str] | None: if include is None and exclude is None and exclude_unset is False: return None keys: typing.AbstractSet[str] if exclude_unset: keys = self.__pydantic_fields_set__.copy() else: keys = set(self.__dict__.keys()) keys = keys | (self.__pydantic_extra__ or {}).keys() if include is not None: keys &= include.keys() if update: keys -= update.keys() if exclude: keys -= {k for k, v in exclude.items() if _utils.ValueItems.is_true(v)} return keys
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