Coverage for tests/test_pydantic/test_field.py: 100%

39 statements  

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1from decimal import Decimal 1opqrstu

2from typing import Optional, Union 1opqrstu

3 

4import pytest 1opqrstu

5from pydantic import ValidationError 1opqrstu

6from sqlmodel import Field, SQLModel 1opqrstu

7from typing_extensions import Literal 1opqrstu

8 

9 

10def test_decimal(): 1opqrstu

11 class Model(SQLModel): 1hijklmn

12 dec: Decimal = Field(max_digits=4, decimal_places=2) 1hijklmn

13 

14 Model(dec=Decimal("3.14")) 1hijklmn

15 Model(dec=Decimal("69.42")) 1hijklmn

16 

17 with pytest.raises(ValidationError): 1hijklmn

18 Model(dec=Decimal("3.142")) 1hijklmn

19 with pytest.raises(ValidationError): 1hijklmn

20 Model(dec=Decimal("0.069")) 1hijklmn

21 with pytest.raises(ValidationError): 1hijklmn

22 Model(dec=Decimal("420")) 1hijklmn

23 

24 

25def test_discriminator(): 1opqrstu

26 # Example adapted from 

27 # [Pydantic docs](https://pydantic-docs.helpmanual.io/usage/types/#discriminated-unions-aka-tagged-unions): 

28 

29 class Cat(SQLModel): 1abcdefg

30 pet_type: Literal["cat"] 1abcdefg

31 meows: int 1abcdefg

32 

33 class Dog(SQLModel): 1abcdefg

34 pet_type: Literal["dog"] 1abcdefg

35 barks: float 1abcdefg

36 

37 class Lizard(SQLModel): 1abcdefg

38 pet_type: Literal["reptile", "lizard"] 1abcdefg

39 scales: bool 1abcdefg

40 

41 class Model(SQLModel): 1abcdefg

42 pet: Union[Cat, Dog, Lizard] = Field(..., discriminator="pet_type") 1abcdefg

43 n: int 1abcdefg

44 

45 Model(pet={"pet_type": "dog", "barks": 3.14}, n=1) # type: ignore[arg-type] 1abcdefg

46 

47 with pytest.raises(ValidationError): 1abcdefg

48 Model(pet={"pet_type": "dog"}, n=1) # type: ignore[arg-type] 1abcdefg

49 

50 

51def test_repr(): 1opqrstu

52 class Model(SQLModel): 1vwxyzAB

53 id: Optional[int] = Field(primary_key=True) 1vwxyzAB

54 foo: str = Field(repr=False) 1vwxyzAB

55 

56 instance = Model(id=123, foo="bar") 1vwxyzAB

57 assert "foo=" not in repr(instance) 1vwxyzAB