nonebot2/tests/test_compat.py

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from dataclasses import dataclass
from typing import Any, Optional, Annotated
import pytest
from pydantic import BaseModel, ValidationError
from nonebot.compat import (
DEFAULT_CONFIG,
Required,
FieldInfo,
TypeAdapter,
PydanticUndefined,
model_dump,
custom_validation,
type_validate_json,
type_validate_python,
)
def test_default_config():
assert DEFAULT_CONFIG.get("extra") == "allow"
assert DEFAULT_CONFIG.get("arbitrary_types_allowed") is True
def test_field_info():
# required should be convert to PydanticUndefined
assert FieldInfo(Required).default is PydanticUndefined
# field info should allow extra attributes
assert FieldInfo(test="test").extra["test"] == "test"
def test_type_adapter():
t = TypeAdapter(Annotated[int, FieldInfo(ge=1)])
assert t.validate_python(2) == 2
with pytest.raises(ValidationError):
t.validate_python(0)
assert t.validate_json("2") == 2
with pytest.raises(ValidationError):
t.validate_json("0")
def test_model_dump():
class TestModel(BaseModel):
test1: int
test2: int
assert model_dump(TestModel(test1=1, test2=2), include={"test1"}) == {"test1": 1}
assert model_dump(TestModel(test1=1, test2=2), exclude={"test1"}) == {"test2": 2}
def test_custom_validation():
called = []
@custom_validation
@dataclass
class TestModel:
test: int
@classmethod
def __get_validators__(cls):
yield cls._validate_1
yield cls._validate_2
@classmethod
def _validate_1(cls, v: Any) -> Any:
called.append(1)
return v
@classmethod
def _validate_2(cls, v: Any) -> Any:
called.append(2)
return cls(test=v["test"])
assert type_validate_python(TestModel, {"test": 1}) == TestModel(test=1)
assert called == [1, 2]
def test_validate_json():
class TestModel(BaseModel):
test1: int
test2: str
test3: bool
test4: dict
test5: list
test6: Optional[int]
assert type_validate_json(
TestModel,
"{"
' "test1": 1,'
' "test2": "2",'
' "test3": true,'
' "test4": {},'
' "test5": [],'
' "test6": null'
"}",
) == TestModel(test1=1, test2="2", test3=True, test4={}, test5=[], test6=None)