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from dataclasses import asdict, is_dataclass
from typing import Any
import pytest
from dirty_equals import HasRepr
from pydantic import ValidationError, field_validator, model_validator
from pydantic.dataclasses import dataclass
def test_simple():
@dataclass
class MyDataclass:
a: str
@field_validator('a')
@classmethod
def change_a(cls, v):
return v + ' changed'
assert MyDataclass(a='this is foobar good').a == 'this is foobar good changed'
def test_validate_before():
@dataclass
class MyDataclass:
a: list[int]
@field_validator('a', mode='before')
@classmethod
def check_a1(cls, v: list[Any]) -> list[Any]:
v.append('123')
return v
@field_validator('a')
@classmethod
def check_a2(cls, v: list[int]) -> list[int]:
v.append(456)
return v
assert MyDataclass(a=[1, 2]).a == [1, 2, 123, 456]
def test_validate_multiple():
@dataclass
class MyDataclass:
a: str
b: str
@field_validator('a', 'b')
@classmethod
def check_a_and_b(cls, v, info):
if len(v) < 4:
raise ValueError(f'{info.field_name} is too short')
return v + 'x'
assert asdict(MyDataclass(a='1234', b='5678')) == {'a': '1234x', 'b': '5678x'}
with pytest.raises(ValidationError) as exc_info:
MyDataclass(a='x', b='x')
assert exc_info.value.errors(include_url=False) == [
{
'ctx': {'error': HasRepr(repr(ValueError('a is too short')))},
'input': 'x',
'loc': ('a',),
'msg': 'Value error, a is too short',
'type': 'value_error',
},
{
'ctx': {'error': HasRepr(repr(ValueError('b is too short')))},
'input': 'x',
'loc': ('b',),
'msg': 'Value error, b is too short',
'type': 'value_error',
},
]
def test_type_error():
@dataclass
class MyDataclass:
a: str
b: str
@field_validator('a', 'b')
@classmethod
def check_a_and_b(cls, v, info):
if len(v) < 4:
raise TypeError(f'{info.field_name} is too short')
return v + 'x'
assert asdict(MyDataclass(a='1234', b='5678')) == {'a': '1234x', 'b': '5678x'}
with pytest.raises(TypeError, match='a is too short'):
MyDataclass(a='x', b='x')
def test_classmethod():
@dataclass
class MyDataclass:
a: str
@field_validator('a')
@classmethod
def check_a(cls, v):
assert cls is MyDataclass and is_dataclass(MyDataclass)
return v
m = MyDataclass(a='this is foobar good')
assert m.a == 'this is foobar good'
m.check_a('x')
def test_validate_parent():
@dataclass
class Parent:
a: str
@field_validator('a')
@classmethod
def change_a(cls, v):
return v + ' changed'
@dataclass
class Child(Parent):
pass
assert Parent(a='this is foobar good').a == 'this is foobar good changed'
assert Child(a='this is foobar good').a == 'this is foobar good changed'
def test_inheritance_replace():
@dataclass
class Parent:
a: int
@field_validator('a')
@classmethod
def add_to_a(cls, v):
return v + 1
@dataclass
class Child(Parent):
@field_validator('a')
@classmethod
def add_to_a(cls, v):
return v + 5
assert Child(a=0).a == 5
def test_model_validator():
root_val_values: list[Any] = []
@dataclass
class MyDataclass:
a: int
b: str
@field_validator('b')
@classmethod
def repeat_b(cls, v: str) -> str:
return v * 2
@model_validator(mode='after')
def root_validator(self) -> 'MyDataclass':
root_val_values.append(asdict(self))
if 'snap' in self.b:
raise ValueError('foobar')
self.b = 'changed'
return self
assert asdict(MyDataclass(a='123', b='bar')) == {'a': 123, 'b': 'changed'}
with pytest.raises(ValidationError) as exc_info:
MyDataclass(1, b='snap dragon')
assert root_val_values == [{'a': 123, 'b': 'barbar'}, {'a': 1, 'b': 'snap dragonsnap dragon'}]
assert exc_info.value.errors(include_url=False) == [
{
'ctx': {'error': HasRepr(repr(ValueError('foobar')))},
'input': HasRepr("ArgsKwargs((1,), {'b': 'snap dragon'})"),
'loc': (),
'msg': 'Value error, foobar',
'type': 'value_error',
}
]
|
