from typing import Any, Optional import sqlalchemy from pydantic import create_model from orm.fields import BaseField def parse_pydantic_field_from_model_fields(object_dict: dict): pydantic_fields = {field_name: ( base_field.__type__, ... if (not base_field.nullable and not base_field.default) else ( base_field.default() if callable(base_field.default) else base_field.default) ) for field_name, base_field in object_dict.items() if isinstance(base_field, BaseField)} return pydantic_fields class ModelMetaclass(type): def __new__( mcs: type, name: str, bases: Any, attrs: dict ) -> type: new_model = super().__new__( # type: ignore mcs, name, bases, attrs ) if attrs.get("__abstract__"): return new_model tablename = attrs["__tablename__"] metadata = attrs["__metadata__"] pkname = None columns = [] for field_name, field in new_model.__dict__.items(): if isinstance(field, BaseField): if field.primary_key: pkname = field_name columns.append(field.get_column(field_name)) pydantic_fields = parse_pydantic_field_from_model_fields(new_model.__dict__) new_model.__table__ = sqlalchemy.Table(tablename, metadata, *columns) new_model.__columns__ = columns new_model.__pkname__ = pkname new_model.__pydantic_fields__ = pydantic_fields new_model.__pydantic_model__ = create_model(name, **pydantic_fields) new_model.__fields__ = new_model.__pydantic_model__.__fields__ return new_model class Model(metaclass=ModelMetaclass): __abstract__ = True def __init__(self, *args, **kwargs): if "pk" in kwargs: kwargs[self.__pkname__] = kwargs.pop("pk") self.values = self.__pydantic_model__(**kwargs) def __setattr__(self, key, value): if key in self.__fields__: setattr(self.values, key, value) super().__setattr__(key, value) def __getattribute__(self, item): if item != '__fields__' and item in self.__fields__: return getattr(self.values, item) return super().__getattribute__(item) @property def pk(self): return getattr(self.values, self.__pkname__) @pk.setter def pk(self, value): setattr(self.values, self.__pkname__, value)