2023-10-26 14:18:05 +04:00

58 lines
1.5 KiB
Python

from decimal import Decimal
from typing import Optional, Union
import pytest
from pydantic import ValidationError
from sqlmodel import Field, SQLModel
from typing_extensions import Literal
def test_decimal():
class Model(SQLModel):
dec: Decimal = Field(max_digits=4, decimal_places=2)
Model(dec=Decimal("3.14"))
Model(dec=Decimal("69.42"))
with pytest.raises(ValidationError):
Model(dec=Decimal("3.142"))
with pytest.raises(ValidationError):
Model(dec=Decimal("0.069"))
with pytest.raises(ValidationError):
Model(dec=Decimal("420"))
def test_discriminator():
# Example adapted from
# [Pydantic docs](https://pydantic-docs.helpmanual.io/usage/types/#discriminated-unions-aka-tagged-unions):
class Cat(SQLModel):
pet_type: Literal["cat"]
meows: int
class Dog(SQLModel):
pet_type: Literal["dog"]
barks: float
class Lizard(SQLModel):
pet_type: Literal["reptile", "lizard"]
scales: bool
class Model(SQLModel):
pet: Union[Cat, Dog, Lizard] = Field(..., discriminator="pet_type")
n: int
Model(pet={"pet_type": "dog", "barks": 3.14}, n=1) # type: ignore[arg-type]
with pytest.raises(ValidationError):
Model(pet={"pet_type": "dog"}, n=1) # type: ignore[arg-type]
def test_repr():
class Model(SQLModel):
id: Optional[int] = Field(primary_key=True)
foo: str = Field(repr=False)
instance = Model(id=123, foo="bar")
assert "foo=" not in repr(instance)