377 lines
13 KiB
Python
377 lines
13 KiB
Python
import copy
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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 Any, List, Optional, TYPE_CHECKING, Tuple, Type, TypeVar
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from typing import Callable, Dict, Set
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import databases
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import orm.queryset as qry
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from orm.exceptions import ModelDefinitionError
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from orm.fields import BaseField, ForeignKey
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from orm.relations import RelationshipManager
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import pydantic
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from pydantic import BaseConfig, BaseModel, create_model
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import sqlalchemy
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relationship_manager = RelationshipManager()
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def parse_pydantic_field_from_model_fields(object_dict: dict) -> Dict[str, Tuple]:
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pydantic_fields = {
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field_name: (
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base_field.__type__,
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... if base_field.is_required else base_field.default_value,
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)
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for field_name, base_field in object_dict.items()
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if isinstance(base_field, BaseField)
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}
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return pydantic_fields
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def register_relation_on_build(table_name: str, field: ForeignKey, name: str) -> None:
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child_relation_name = field.to.get_name(title=True) + "_" + name.lower() + "s"
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reverse_name = field.related_name or child_relation_name
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relation_name = name.lower().title() + "_" + field.to.get_name()
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relationship_manager.add_relation_type(
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relation_name, reverse_name, field, table_name
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)
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def sqlalchemy_columns_from_model_fields(
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name: str, object_dict: Dict, table_name: str
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) -> Tuple[Optional[str], List[sqlalchemy.Column], Dict[str, BaseField]]:
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pkname: Optional[str] = None
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columns: List[sqlalchemy.Column] = []
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model_fields: Dict[str, BaseField] = {}
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for field_name, field in object_dict.items():
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if isinstance(field, BaseField):
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model_fields[field_name] = field
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if not field.pydantic_only:
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if field.primary_key:
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pkname = field_name
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if isinstance(field, ForeignKey):
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register_relation_on_build(table_name, field, name)
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columns.append(field.get_column(field_name))
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return pkname, columns, model_fields
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def get_pydantic_base_orm_config() -> Type[BaseConfig]:
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class Config(BaseConfig):
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orm_mode = True
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return Config
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class ModelMetaclass(type):
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def __new__(mcs: type, name: str, bases: Any, attrs: dict) -> type:
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new_model = super().__new__( # type: ignore
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mcs, name, bases, attrs
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)
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if attrs.get("__abstract__"):
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return new_model
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tablename = attrs["__tablename__"]
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metadata = attrs["__metadata__"]
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# sqlalchemy table creation
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pkname, columns, model_fields = sqlalchemy_columns_from_model_fields(
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name, attrs, tablename
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)
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attrs["__table__"] = sqlalchemy.Table(tablename, metadata, *columns)
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attrs["__columns__"] = columns
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attrs["__pkname__"] = pkname
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if not pkname:
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raise ModelDefinitionError("Table has to have a primary key.")
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# pydantic model creation
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pydantic_fields = parse_pydantic_field_from_model_fields(attrs)
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pydantic_model = create_model(
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name, __config__=get_pydantic_base_orm_config(), **pydantic_fields
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)
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attrs["__pydantic_fields__"] = pydantic_fields
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attrs["__pydantic_model__"] = pydantic_model
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attrs["__fields__"] = copy.deepcopy(pydantic_model.__fields__)
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attrs["__signature__"] = copy.deepcopy(pydantic_model.__signature__)
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attrs["__annotations__"] = copy.deepcopy(pydantic_model.__annotations__)
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attrs["__model_fields__"] = model_fields
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attrs["_orm_relationship_manager"] = relationship_manager
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new_model = super().__new__( # type: ignore
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mcs, name, bases, attrs
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)
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return new_model
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class FakePydantic(list, metaclass=ModelMetaclass):
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# FakePydantic inherits from list in order to be treated as
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# request.Body parameter in fastapi routes,
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# inheriting from pydantic.BaseModel causes metaclass conflicts
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__abstract__ = True
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if TYPE_CHECKING: # pragma no cover
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__model_fields__: Dict[str, TypeVar[BaseField]]
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__table__: sqlalchemy.Table
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__fields__: Dict[str, pydantic.fields.ModelField]
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__pydantic_model__: Type[BaseModel]
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__pkname__: str
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__tablename__: str
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__metadata__: sqlalchemy.MetaData
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__database__: databases.Database
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_orm_relationship_manager: RelationshipManager
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def __init__(self, *args: Any, **kwargs: Any) -> None:
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super().__init__()
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self._orm_id: str = uuid.uuid4().hex
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self._orm_saved: bool = False
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self.values: Optional[BaseModel] = None
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if "pk" in kwargs:
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kwargs[self.__pkname__] = kwargs.pop("pk")
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kwargs = {
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k: self.__model_fields__[k].expand_relationship(v, self)
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for k, v in kwargs.items()
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}
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self.values = self.__pydantic_model__(**kwargs)
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def __del__(self) -> None:
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self._orm_relationship_manager.deregister(self)
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def __setattr__(self, key: str, value: Any) -> None:
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if key in self.__fields__:
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if self._is_conversion_to_json_needed(key) and not isinstance(value, str):
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try:
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value = json.dumps(value)
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except TypeError: # pragma no cover
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pass
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value = self.__model_fields__[key].expand_relationship(value, self)
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relation_key = self.__class__.__name__.title() + "_" + key
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if not self._orm_relationship_manager.contains(relation_key, self):
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setattr(self.values, key, value)
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else:
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super().__setattr__(key, value)
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def __getattribute__(self, key: str) -> Any:
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if key != "__fields__" and key in self.__fields__:
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relation_key = self.__class__.__name__.title() + "_" + key
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if self._orm_relationship_manager.contains(relation_key, self):
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return self._orm_relationship_manager.get(relation_key, self)
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item = getattr(self.values, key, None)
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if (
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item is not None
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and self._is_conversion_to_json_needed(key)
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and isinstance(item, str)
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):
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try:
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item = json.loads(item)
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except TypeError: # pragma no cover
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pass
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return item
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return super().__getattribute__(key)
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def __eq__(self, other: "Model") -> bool:
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return self.values.dict() == other.values.dict()
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def __same__(self, other: "Model") -> bool:
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if self.__class__ != other.__class__: # pragma no cover
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return False
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return self._orm_id == other._orm_id or (
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self.values is not None and other.values is not None and self.pk == other.pk
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)
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def __repr__(self) -> str: # pragma no cover
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return self.values.__repr__()
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@classmethod
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def __get_validators__(cls) -> Callable: # pragma no cover
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yield cls.__pydantic_model__.validate
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@classmethod
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def get_name(cls, title: bool = False, lower: bool = True) -> str:
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name = cls.__name__
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if lower:
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name = name.lower()
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if title:
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name = name.title()
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return name
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@property
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def pk_column(self) -> sqlalchemy.Column:
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return self.__table__.primary_key.columns.values()[0]
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@classmethod
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def pk_type(cls) -> Any:
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return cls.__model_fields__[cls.__pkname__].__type__
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def dict(self) -> Dict: # noqa: A003
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dict_instance = self.values.dict()
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for field in self._extract_related_names():
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nested_model = getattr(self, field)
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if isinstance(nested_model, list):
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dict_instance[field] = [x.dict() for x in nested_model]
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else:
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dict_instance[field] = (
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nested_model.dict() if nested_model is not None else {}
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)
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return dict_instance
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def from_dict(self, value_dict: Dict) -> None:
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for key, value in value_dict.items():
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setattr(self, key, value)
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def _is_conversion_to_json_needed(self, column_name: str) -> bool:
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return self.__model_fields__.get(column_name).__type__ == pydantic.Json
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def _extract_own_model_fields(self) -> Dict:
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related_names = self._extract_related_names()
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self_fields = {k: v for k, v in self.dict().items() if k not in related_names}
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return self_fields
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@classmethod
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def _extract_related_names(cls) -> Set:
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related_names = set()
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for name, field in cls.__fields__.items():
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if inspect.isclass(field.type_) and issubclass(
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field.type_, pydantic.BaseModel
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):
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related_names.add(name)
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return related_names
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def _extract_model_db_fields(self) -> Dict:
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self_fields = self._extract_own_model_fields()
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self_fields = {
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k: v for k, v in self_fields.items() if k in self.__table__.columns
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}
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for field in self._extract_related_names():
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if getattr(self, field) is not None:
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self_fields[field] = getattr(
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getattr(self, field), self.__model_fields__[field].to.__pkname__
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)
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return self_fields
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@classmethod
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def merge_instances_list(cls, result_rows: List["Model"]) -> List["Model"]:
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merged_rows = []
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for index, model in enumerate(result_rows):
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if index > 0 and model.pk == result_rows[index - 1].pk:
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result_rows[-1] = cls.merge_two_instances(model, merged_rows[-1])
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else:
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merged_rows.append(model)
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return merged_rows
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@classmethod
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def merge_two_instances(cls, one: "Model", other: "Model") -> "Model":
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for field in one.__model_fields__.keys():
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# print(field, one.dict(), other.dict())
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if isinstance(getattr(one, field), list) and not isinstance(
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getattr(one, field), Model
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):
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setattr(other, field, getattr(one, field) + getattr(other, field))
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elif isinstance(getattr(one, field), Model):
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if getattr(one, field).pk == getattr(other, field).pk:
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setattr(
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other,
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field,
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cls.merge_two_instances(
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getattr(one, field), getattr(other, field)
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),
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)
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return other
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class Model(FakePydantic):
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__abstract__ = True
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objects = qry.QuerySet()
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@classmethod
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def from_row(
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cls,
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row: sqlalchemy.engine.ResultProxy,
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select_related: List = None,
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previous_table: str = None,
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) -> "Model":
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item = {}
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select_related = select_related or []
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table_prefix = cls._orm_relationship_manager.resolve_relation_join(
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previous_table, cls.__table__.name
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)
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previous_table = cls.__table__.name
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for related in select_related:
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if "__" in related:
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first_part, remainder = related.split("__", 1)
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model_cls = cls.__model_fields__[first_part].to
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child = model_cls.from_row(
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row, select_related=[remainder], previous_table=previous_table
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)
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item[first_part] = child
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else:
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model_cls = cls.__model_fields__[related].to
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child = model_cls.from_row(row, previous_table=previous_table)
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item[related] = child
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for column in cls.__table__.columns:
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if column.name not in item:
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item[column.name] = row[
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f'{table_prefix + "_" if table_prefix else ""}{column.name}'
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]
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return cls(**item)
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@property
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def pk(self) -> str:
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return getattr(self.values, self.__pkname__)
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@pk.setter
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def pk(self, value: Any) -> None:
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setattr(self.values, self.__pkname__, value)
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async def save(self) -> int:
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self_fields = self._extract_model_db_fields()
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if self.__model_fields__.get(self.__pkname__).autoincrement:
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self_fields.pop(self.__pkname__, None)
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expr = self.__table__.insert()
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expr = expr.values(**self_fields)
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item_id = await self.__database__.execute(expr)
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self.pk = item_id
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return item_id
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async def update(self, **kwargs: Any) -> int:
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if kwargs:
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new_values = {**self.dict(), **kwargs}
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self.from_dict(new_values)
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self_fields = self._extract_model_db_fields()
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self_fields.pop(self.__pkname__)
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expr = (
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self.__table__.update()
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.values(**self_fields)
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.where(self.pk_column == getattr(self, self.__pkname__))
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)
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result = await self.__database__.execute(expr)
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return result
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async def delete(self) -> int:
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expr = self.__table__.delete()
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expr = expr.where(self.pk_column == (getattr(self, self.__pkname__)))
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result = await self.__database__.execute(expr)
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return result
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async def load(self) -> "Model":
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expr = self.__table__.select().where(self.pk_column == self.pk)
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row = await self.__database__.fetch_one(expr)
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self.from_dict(dict(row))
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return self
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