import copy from typing import Any, Dict, List, Optional, TYPE_CHECKING, Tuple, Type import sqlalchemy from pydantic import BaseConfig, create_model from pydantic.fields import ModelField from orm import ForeignKey, ModelDefinitionError # noqa I100 from orm.fields import BaseField from orm.relations import RelationshipManager if TYPE_CHECKING: # pragma no cover from orm import Model relationship_manager = RelationshipManager() def parse_pydantic_field_from_model_fields(object_dict: dict) -> Dict[str, Tuple]: pydantic_fields = { field_name: ( base_field.__type__, ... if base_field.is_required else base_field.default_value, ) for field_name, base_field in object_dict.items() if isinstance(base_field, BaseField) } return pydantic_fields def register_relation_on_build(table_name: str, field: ForeignKey, name: str) -> None: child_relation_name = field.to.get_name(title=True) + "_" + name.lower() + "s" reverse_name = field.related_name or child_relation_name relation_name = name.lower().title() + "_" + field.to.get_name() relationship_manager.add_relation_type( relation_name, reverse_name, field, table_name ) def expand_reverse_relationships(model: Type["Model"]) -> None: for model_field in model.__model_fields__.values(): if isinstance(model_field, ForeignKey): child_model_name = model_field.related_name or model.get_name() + "s" parent_model = model_field.to child = model if ( child_model_name not in parent_model.__fields__ and child.get_name() not in parent_model.__fields__ ): register_reverse_model_fields(parent_model, child, child_model_name) def register_reverse_model_fields( model: Type["Model"], child: Type["Model"], child_model_name: str ) -> None: model.__fields__[child_model_name] = ModelField( name=child_model_name, type_=Optional[child.__pydantic_model__], model_config=child.__pydantic_model__.__config__, class_validators=child.__pydantic_model__.__validators__, ) model.__model_fields__[child_model_name] = ForeignKey( child, name=child_model_name, virtual=True ) def sqlalchemy_columns_from_model_fields( name: str, object_dict: Dict, table_name: str ) -> Tuple[Optional[str], List[sqlalchemy.Column], Dict[str, BaseField]]: columns = [] pkname = None model_fields = { field_name: field for field_name, field in object_dict.items() if isinstance(field, BaseField) } for field_name, field in model_fields.items(): if field.primary_key: pkname = field_name if not field.pydantic_only: columns.append(field.get_column(field_name)) if isinstance(field, ForeignKey): register_relation_on_build(table_name, field, name) return pkname, columns, model_fields def get_pydantic_base_orm_config() -> Type[BaseConfig]: class Config(BaseConfig): orm_mode = True return Config 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__"] # sqlalchemy table creation pkname, columns, model_fields = sqlalchemy_columns_from_model_fields( name, attrs, tablename ) attrs["__table__"] = sqlalchemy.Table(tablename, metadata, *columns) attrs["__columns__"] = columns attrs["__pkname__"] = pkname if not pkname: raise ModelDefinitionError("Table has to have a primary key.") # pydantic model creation pydantic_fields = parse_pydantic_field_from_model_fields(attrs) pydantic_model = create_model( name, __config__=get_pydantic_base_orm_config(), **pydantic_fields ) attrs["__pydantic_fields__"] = pydantic_fields attrs["__pydantic_model__"] = pydantic_model attrs["__fields__"] = copy.deepcopy(pydantic_model.__fields__) attrs["__signature__"] = copy.deepcopy(pydantic_model.__signature__) attrs["__annotations__"] = copy.deepcopy(pydantic_model.__annotations__) attrs["__model_fields__"] = model_fields attrs["_orm_relationship_manager"] = relationship_manager new_model = super().__new__( # type: ignore mcs, name, bases, attrs ) expand_reverse_relationships(new_model) return new_model