Let's say that I have an pydantic (it could be any kind of) model that shold know how to convert itself to orm (it could be any kind of) model. To do so I have constructed mod_a.py:
from pydantic import BaseModel
from mod2mod.mod_b import DBUser
class User(BaseModel):
name: str
surname: str
def to_orm(self) -> DBUser:
return DBUser(
full_name = f"{self.surname},{self.name}"
)
I would also like my orm model to be able to convert itself to pydantic model, so my mod_b.py is:
from sqlalchemy.orm import declarative_base
from sqlalchemy import Column, Integer, String
from mod_a import User
Base = declarative_base()
class DBUser(Base):
__tablename__ = 'users'
id = Column(Integer, primary_key=True)
full_name = Column(String)
def to_pydantic(self) -> User:
surname, name = self.full_name.split(',')
User(
name=name,
surname=surname
)
Idea is to be able to go from model to model at will like in mod2mod.py:
import pydantic
from mod_a import User
from mod_b import DBUser
user = User(name='John', surname='Doe')
orm_user = user.to_orm()
pydantic_user = orm_user.to_pydantic()
print(user)
print(pydantic_user)
Obviously this will not work because:
ImportError: cannot import name 'User' from partially initialized module 'mod_a' (most likely due to a circular import) (/mod2mod/mod_a.py)
How to solve this type of problem? Do I need another entity that will now how to do conversions between models and put current model methods there or there is some other design pattern?
CodePudding user response:
You have to to do a local import
and us TYPE_CHECKING
to be able to do a type hint.
from typing import TYPE_CHECKING
from pydantic import BaseModel
if TYPE_CHECKING:
from mod2mod.mod_b import DBUser
class User(BaseModel):
name: str
surname: str
def to_orm(self) -> "DBUser":
from mod2mod.mod_b import DBUser
return DBUser(
full_name = f"{self.surname},{self.name}"
)
Do this for DBUser
as well.
CodePudding user response:
You can use import ...
style instead of from ... import ...
. And wrap return type hints in quotes (I did such below) or use postponed annotation evaluation PEP-563 (by the way, it is default for Python 3.10)
# mod_a.py
from pydantic import BaseModel
import mod_b
class User(BaseModel):
name: str
surname: str
def to_orm(self) -> 'mod_b.DBUser':
return mod_b.DBUser()
# mod_b.py
import mod_a
class DBUser:
def to_pydantic(self) -> 'mod_a.User':
return mod_a.User(
name="",
surname=""
)