Collections of pydantic models

Last update: Dec 26, 2022

Overview

pydantic-collections

The pydantic-collections package provides BaseCollectionModel class that allows you to manipulate collections of pydantic models (and any other types supported by pydantic).

Requirements

Python >= 3.7
pydantic >= 1.8.2

Installation

pip install pydantic-collections

Usage

Basic usage

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"}]

Strict assignment validation

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 users[0].id == 1

Using as a model field

BaseCollectionModel 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(...))
...

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Comments

Bug dict() method: ignore or raised exception when using dict function attribute (ex. include, exclude, etc.)

Hi there, I tried to use the method dict but i got an error: KeyError(__root__) Here an example:

Model structure:


from datetime import datetime, time
from typing import Optional, Union
from pydantic import Field, validator, BaseModel
from pydantic_collections import BaseCollectionModel

class OpeningTime(BaseModel):
    weekday: int = Field(..., alias="weekday")
    day: Optional[str] = Field(alias="day")  # NB: keep it after number_weekday attribute
    from_time: Optional[time] = Field(alias="fromTime")
    to_time: Optional[time] = Field(alias="toTime")

    @validator("day", pre=True)
    def generate_weekday(cls, weekday: str, values) -> str:
        if weekday is None or len(weekday) == 0:
            return WEEKDAYS[str(values["weekday"])]
        return weekday



class OpeningTimes(BaseCollectionModel[OpeningTime]):
    pass


class PaymentMethod(BaseModel):
    type: str = Field(..., alias="type")
    card_type: str = Field(..., alias="cardType")


class PaymentMethods(BaseCollectionModel[PaymentMethod]):
    pass


class FuelType(BaseModel):
    type: str = Field(..., alias="Fuel")


class FuelTypes(BaseCollectionModel[FuelType]):
    pass


class AdditionalInfoStation(BaseModel):
    opening_times: Optional[OpeningTimes] = Field(alias="openingTimes")
    car_wash_opening_times: Optional[OpeningTimes] = Field(alias="openingTimesCarWash")
    payment_methods: PaymentMethods = Field(..., alias="paymentMethods")
    fuel_types: FuelTypes = Field(..., alias="fuelTypes")


class Example(BaseModel):
    hash_key: int = Field(..., alias="hashKey")
    range_key: str = Field(..., alias="rangeKey")
    location_id: str = Field(..., alias="locationId")
    name: str = Field(..., alias="name")
    street: str = Field(..., alias="street")
    address_number: str = Field(..., alias="addressNumber")
    zip_code: int = Field(..., alias="zipCode")
    city: str = Field(..., alias="city")
    region: str = Field(..., alias="region")
    country: str = Field(..., alias="country")
    additional_info: Union[AdditionalInfoStation] = Field(..., alias="additionalInfo")


class ExampleList(BaseCollectionModel[EniGeoPoint]):
    pass

Imagine that there is an ExampleList populated object and needed filters field during apply of dict method:

example_list: ExampleList = ExampleList.parse_obj([{......}])

#This istruction raised exception
example_list.dict(by_alias=True, inlcude={"hash_key", "range_key"})

The last istruction raise an error: Message: KeyError('__root__')

My env is:

pydantic==1.9.1
pydantic-collections==0.2.0
python version 3.9.7

If you need more info please contact me.

opened by aferrari94 6

Releases(v0.4.0)

v0.4.0(Oct 16, 2022)

Source code(tar.gz)
Source code(zip)
v0.3.0(Aug 8, 2022)

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v0.2.2(Jul 28, 2022)

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v0.2.1(Jun 28, 2022)

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v0.2.0(Nov 13, 2021)

Cache __getitem__ of BaseCollectionModelMeta
Source code(tar.gz)
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v0.1.1(Oct 26, 2021)

Improve Optional types handling
Source code(tar.gz)
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v0.1.0(Oct 23, 2021)

Source code(tar.gz)
Source code(zip)

Owner

Roman Snegirev

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Collections of pydantic models

Related tags

Overview

pydantic-collections

Requirements

Installation

Usage

Basic usage

Strict assignment validation

Using as a model field

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Comments

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