How to parse list of models with Pydantic
You can try this
from typing import List
from pydantic import BaseModel
class User(BaseModel):
name: str
age: int
class Users(BaseModel):
users: List[User]
users = [{"name": "user1", "age": 15}, {"name": "user2", "age": 28}]
m = Users(users=users)
print(m.dict())
This is now possible using parse_obj_as
.
from pydantic import parse_obj_as
users = [
{"name": "user1", "age": 15},
{"name": "user2", "age": 28}
]
m = parse_obj_as(List[User], users)
To confirm and expand the previous answer, here is an "official" answer at pydantic-github - All credits to "dmontagu":
The "right" way to do this in pydantic is to make use of "Custom Root Types". You still need to make use of a container model:
class UserList(BaseModel):
__root__: List[User]
but then the following will work:
UserList.parse_obj([
{'id': '123', 'signup_ts': '2017-06-01 12:22', 'friends': [1, '2', b'3']},
{'id': '456', 'signup_ts': '2017-06-02 12:22', 'friends': ['you']},
])
(and will put the values inside the root property).
Unfortunately, I think there is not good serialization support for this yet, so I think when you go to return the results, if you want to return just a list you'll still need to return UserList.root.
I don't think there is currently a unified interface that gets you a serialized/unstructured version of the model that respects the root_model, but if this is what you are looking for, it could be worth building.