mirror of
https://github.com/kennethreitz/pydantic.git
synced 2026-06-05 23:00:18 +00:00
594effa279
* working on core schema generation * adapting main.py * getting tests to run * fix tests * disable pyright, fix mypy * moving to class-based model generation * working on validators * change how models are created * start fixing test_main.py * fixing mypy * SelfType * recursive models working, more tests fixed * fix tests on <3.10 * get docs build to pass * starting to cleanup types.py * starting works on custom types * working on using annotated-types * using annoated types for constraints * lots of cleanup, fixing network tests * network tests passing 🎉 * working on types * working on types and cleanup * fixing UUID type, restructing again * more types and newer pydantic-core * working on Iterable * more test_types tests * support newer pydantic-core, fixing more test_types.py * working through more test_types.py * test_types.py at last passing locally 🎉 * fixing more tests in test_types.py * fix datetime_parse tests and linting * get tests running again, rename to test_datetime.py * renaming internal modules * working through mypy errors * fixing mypy * refactoring _generate_schema.py * test_main.py passing * uprev deps * fix conftest and linting? * importing Annotated * ltining * import Annotated from typing_extensions * fixing 3.7 compatibility * fixing tests on 3.9 * fix linting * fixing SecretField and 3.9 tests * customising get_type_hints * ignore warnings on 3.11 * spliting repr out of utils * removing unused bits of _repr, fix tests for 3.7 * more cleanup, removing many type aliases * clean up repr * support namedtuples and typeddicts * test is_union * removing errors, uprev pydantic-core * fix tests on 3.8 * fixing private attributes and model_post_init * renaming and cleanup * remove unnecessary PydanticMetadata inheritance * fixing forward refs and mypy tests * fix signatures, change how xfail works * revert mypy tests to 3.7 syntax * correct model title * try to fix tests * fixing ClassVar forward refs * uprev pydantic-core, new error format * add "force" argument to model_rebuild * Apply suggestions from code review Suggestions from @tiangolo and @hramezani 🙏 Co-authored-by: Hasan Ramezani <hasan.r67@gmail.com> Co-authored-by: Sebastián Ramírez <tiangolo@gmail.com> * more suggestions from @tiangolo * extra -> json_schema_extra on Field Co-authored-by: Hasan Ramezani <hasan.r67@gmail.com> Co-authored-by: Sebastián Ramírez <tiangolo@gmail.com>
269 lines
8.1 KiB
Python
269 lines
8.1 KiB
Python
from typing import Generic, Optional, Tuple, TypeVar
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import pytest
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from pydantic import BaseModel, Extra, Field, ValidationError, create_model, errors, validator
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from pydantic.fields import ModelPrivateAttr
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from pydantic.generics import GenericModel
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pytestmark = pytest.mark.xfail(reason='working on V2', strict=False)
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def test_create_model():
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model = create_model('FooModel', foo=(str, ...), bar=123)
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assert issubclass(model, BaseModel)
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assert issubclass(model.__config__, BaseModel.Config)
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assert model.__name__ == 'FooModel'
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assert model.__fields__.keys() == {'foo', 'bar'}
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assert model.__validators__ == {}
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assert model.__config__.__name__ == 'Config'
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assert model.__module__ == 'pydantic.main'
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def test_create_model_usage():
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model = create_model('FooModel', foo=(str, ...), bar=123)
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m = model(foo='hello')
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assert m.foo == 'hello'
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assert m.bar == 123
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with pytest.raises(ValidationError):
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model()
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with pytest.raises(ValidationError):
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model(foo='hello', bar='xxx')
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def test_create_model_pickle(create_module):
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"""
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Pickle will work for dynamically created model only if it was defined globally with its class name
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and module where it's defined was specified
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"""
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@create_module
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def module():
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import pickle
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from pydantic import create_model
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FooModel = create_model('FooModel', foo=(str, ...), bar=123, __module__=__name__)
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m = FooModel(foo='hello')
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d = pickle.dumps(m)
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m2 = pickle.loads(d)
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assert m2.foo == m.foo == 'hello'
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assert m2.bar == m.bar == 123
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assert m2 == m
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assert m2 is not m
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def test_invalid_name():
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with pytest.warns(RuntimeWarning):
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model = create_model('FooModel', _foo=(str, ...))
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assert len(model.__fields__) == 0
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def test_field_wrong_tuple():
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with pytest.raises(errors.PydanticUserError):
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create_model('FooModel', foo=(1, 2, 3))
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def test_config_and_base():
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with pytest.raises(errors.PydanticUserError):
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create_model('FooModel', __config__=BaseModel.Config, __base__=BaseModel)
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def test_inheritance():
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class BarModel(BaseModel):
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x = 1
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y = 2
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model = create_model('FooModel', foo=(str, ...), bar=(int, 123), __base__=BarModel)
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assert model.__fields__.keys() == {'foo', 'bar', 'x', 'y'}
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m = model(foo='a', x=4)
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assert m.dict() == {'bar': 123, 'foo': 'a', 'x': 4, 'y': 2}
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def test_custom_config():
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class Config:
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fields = {'foo': 'api-foo-field'}
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model = create_model('FooModel', foo=(int, ...), __config__=Config)
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assert model(**{'api-foo-field': '987'}).foo == 987
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assert issubclass(model.__config__, BaseModel.Config)
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with pytest.raises(ValidationError):
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model(foo=654)
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def test_custom_config_inherits():
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class Config(BaseModel.Config):
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fields = {'foo': 'api-foo-field'}
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model = create_model('FooModel', foo=(int, ...), __config__=Config)
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assert model(**{'api-foo-field': '987'}).foo == 987
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assert issubclass(model.__config__, BaseModel.Config)
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with pytest.raises(ValidationError):
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model(foo=654)
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def test_custom_config_extras():
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class Config(BaseModel.Config):
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extra = Extra.forbid
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model = create_model('FooModel', foo=(int, ...), __config__=Config)
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assert model(foo=654)
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with pytest.raises(ValidationError):
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model(bar=654)
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def test_inheritance_validators():
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class BarModel(BaseModel):
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@validator('a', check_fields=False)
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def check_a(cls, v):
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if 'foobar' not in v:
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raise ValueError('"foobar" not found in a')
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return v
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model = create_model('FooModel', a='cake', __base__=BarModel)
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assert model().a == 'cake'
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assert model(a='this is foobar good').a == 'this is foobar good'
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with pytest.raises(ValidationError):
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model(a='something else')
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def test_inheritance_validators_always():
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class BarModel(BaseModel):
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@validator('a', check_fields=False, always=True)
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def check_a(cls, v):
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if 'foobar' not in v:
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raise ValueError('"foobar" not found in a')
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return v
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model = create_model('FooModel', a='cake', __base__=BarModel)
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with pytest.raises(ValidationError):
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model()
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assert model(a='this is foobar good').a == 'this is foobar good'
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with pytest.raises(ValidationError):
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model(a='something else')
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def test_inheritance_validators_all():
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class BarModel(BaseModel):
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@validator('*')
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def check_all(cls, v):
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return v * 2
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model = create_model('FooModel', a=(int, ...), b=(int, ...), __base__=BarModel)
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assert model(a=2, b=6).dict() == {'a': 4, 'b': 12}
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def test_funky_name():
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model = create_model('FooModel', **{'this-is-funky': (int, ...)})
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m = model(**{'this-is-funky': '123'})
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assert m.dict() == {'this-is-funky': 123}
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with pytest.raises(ValidationError) as exc_info:
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model()
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assert exc_info.value.errors() == [
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{'loc': ('this-is-funky',), 'msg': 'field required', 'type': 'value_error.missing'}
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]
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def test_repeat_base_usage():
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class Model(BaseModel):
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a: str
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assert Model.__fields__.keys() == {'a'}
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model = create_model('FooModel', b=1, __base__=Model)
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assert Model.__fields__.keys() == {'a'}
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assert model.__fields__.keys() == {'a', 'b'}
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model2 = create_model('Foo2Model', c=1, __base__=Model)
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assert Model.__fields__.keys() == {'a'}
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assert model.__fields__.keys() == {'a', 'b'}
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assert model2.__fields__.keys() == {'a', 'c'}
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model3 = create_model('Foo2Model', d=1, __base__=model)
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assert Model.__fields__.keys() == {'a'}
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assert model.__fields__.keys() == {'a', 'b'}
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assert model2.__fields__.keys() == {'a', 'c'}
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assert model3.__fields__.keys() == {'a', 'b', 'd'}
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def test_dynamic_and_static():
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class A(BaseModel):
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x: int
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y: float
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z: str
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DynamicA = create_model('A', x=(int, ...), y=(float, ...), z=(str, ...))
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for field_name in ('x', 'y', 'z'):
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assert A.__fields__[field_name].default == DynamicA.__fields__[field_name].default
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def test_config_field_info_create_model():
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class Config:
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fields = {'a': {'description': 'descr'}}
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m1 = create_model('M1', __config__=Config, a=(str, ...))
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assert m1.schema()['properties'] == {'a': {'title': 'A', 'description': 'descr', 'type': 'string'}}
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m2 = create_model('M2', __config__=Config, a=(str, Field(...)))
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assert m2.schema()['properties'] == {'a': {'title': 'A', 'description': 'descr', 'type': 'string'}}
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def test_generics_model():
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T = TypeVar('T')
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class TestGenericModel(GenericModel):
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pass
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AAModel = create_model(
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'AAModel', __base__=(TestGenericModel, Generic[T]), __cls_kwargs__={'orm_mode': True}, aa=(int, Field(0))
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)
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result = AAModel[int](aa=1)
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assert result.aa == 1
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assert result.__config__.orm_mode is True
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@pytest.mark.parametrize('base', [ModelPrivateAttr, object])
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def test_set_name(base):
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calls = []
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class class_deco(base):
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def __init__(self, fn):
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super().__init__()
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self.fn = fn
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def __set_name__(self, owner, name):
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calls.append((owner, name))
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def __get__(self, obj, type=None):
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return self.fn(obj) if obj else self
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class A(BaseModel):
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x: int
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@class_deco
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def _some_func(self):
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return self.x
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assert calls == [(A, '_some_func')]
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a = A(x=2)
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# we don't test whether calling the method on a PrivateAttr works:
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# attribute access on privateAttributes is more complicated, it doesn't
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# get added to the class namespace (and will also get set on the instance
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# with _init_private_attributes), so the descriptor protocol won't work.
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if base is object:
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assert a._some_func == 2
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def test_create_model_with_slots():
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field_definitions = {'__slots__': (Optional[Tuple[str, ...]], None), 'foobar': (Optional[int], None)}
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with pytest.warns(RuntimeWarning, match='__slots__ should not be passed to create_model'):
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model = create_model('PartialPet', **field_definitions)
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assert model.__fields__.keys() == {'foobar'}
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