The pydantic-collections package provides BaseCollectionModel class that allows you
to manipulate collections of pydantic models
(and any other types supported by pydantic).
- Python >= 3.7
- pydantic >= 1.8.2
pip install pydantic-collections
from datetime import datetime
from pydantic import BaseModel
from pydantic_collections import BaseCollectionModel
class User(BaseModel):
id: int
name: str
birth_date: datetime
class UserCollection(BaseCollectionModel[User]):
pass
user_data = [
{'id': 1, 'name': 'Bender', 'birth_date': '2010-04-01T12:59:59'},
{'id': 2, 'name': 'Balaganov', 'birth_date': '2020-04-01T12:59:59'},
]
users = UserCollection(user_data)
print(users)
#> UserCollection([User(id=1, name='Bender', birth_date=datetime.datetime(2010, 4, 1, 12, 59, 59)), User(id=2, name='Balaganov', birth_date=datetime.datetime(2020, 4, 1, 12, 59, 59))])
print(users.dict())
#> [{'id': 1, 'name': 'Bender', 'birth_date': datetime.datetime(2010, 4, 1, 12, 59, 59)}, {'id': 2, 'name': 'Balaganov', 'birth_date': datetime.datetime(2020, 4, 1, 12, 59, 59)}]
print(users.json())
#> [{"id": 1, "name": "Bender", "birth_date": "2010-04-01T12:59:59"}, {"id": 2, "name": "Balaganov", "birth_date": "2020-04-01T12:59:59"}]By default BaseCollectionModel has a strict assignment check
...
users = UserCollection()
users.append(User(id=1, name='Bender', birth_date=datetime.utcnow())) # OK
users.append({'id': 1, 'name': 'Bender', 'birth_date': '2010-04-01T12:59:59'})
#> pydantic.error_wrappers.ValidationError: 1 validation error for UserCollection
#> __root__ -> 2
#> instance of User expected (type=type_error.arbitrary_type; expected_arbitrary_type=User)This behavior can be changed via Model Config
...
class UserCollection(BaseCollectionModel[User]):
class Config:
validate_assignment_strict = False
users = UserCollection()
users.append({'id': 1, 'name': 'Bender', 'birth_date': '2010-04-01T12:59:59'}) # OK
assert users[0].__class__ is User
assert us
5B28
ers[0].id == 1BaseCollectionModel is a subclass of BaseModel, so you can use it as a model field
...
class UserContainer(BaseModel):
users: UserCollection = []
data = {
'users': [
{'id': 1, 'name': 'Bender', 'birth_date': '2010-04-01T12:59:59'},
{'id': 2, 'name': 'Balaganov', 'birth_date': '2020-04-01T12:59:59'},
]
}
container = UserContainer(**data)
container.users.append(User(...))
...