mirror of
https://github.com/kennethreitz/pydantic.git
synced 2026-06-05 23:00:18 +00:00
Samuel Colvin
372 lines
9.7 KiB
Python
372 lines
9.7 KiB
Python
import json
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from typing import Any
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import pytest
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from pydantic import BaseModel, ConfigError, NoneBytes, NoneStr, Required, ValidationError, constr
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from pydantic.exceptions import pretty_errors
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def test_success():
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# same as below but defined here so class definition occurs inside the test
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class Model(BaseModel):
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a: float
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b: int = 10
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m = Model(a=10.2)
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assert m.a == 10.2
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assert m.b == 10
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class UltraSimpleModel(BaseModel):
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a: float = ...
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b: int = 10
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def test_ultra_simple_missing():
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with pytest.raises(ValidationError) as exc_info:
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UltraSimpleModel()
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assert """\
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error validating input
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a:
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field required (error_type=Missing)""" == str(exc_info.value)
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def test_ultra_simple_failed():
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with pytest.raises(ValidationError) as exc_info:
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UltraSimpleModel(a='x', b='x')
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assert """\
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2 errors validating input
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a:
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could not convert string to float: 'x' (error_type=ValueError track=float)
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b:
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invalid literal for int() with base 10: 'x' (error_type=ValueError track=int)\
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""" == str(exc_info.value)
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def test_ultra_simple_repr():
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m = UltraSimpleModel(a=10.2)
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assert repr(m) == '<UltraSimpleModel a=10.2 b=10>'
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assert repr(m.fields['a']) == ("<Field a: type='float', required=True, "
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"validators=['float', 'number_size_validator']>")
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assert dict(m) == {'a': 10.2, 'b': 10}
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def test_str_truncate():
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class Model(BaseModel):
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s1: str
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s2: str
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b1: bytes
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b2: bytes
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m = Model(s1='132', s2='x' * 100, b1='123', b2='x' * 100)
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print(repr(m.to_string()))
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assert m.to_string() == ("Model s1='132' "
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"s2='xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx…' "
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"b1=b'123' "
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"b2=b'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx…")
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assert """\
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Model
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s1='132'
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s2='xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx…'
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b1=b'123'
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b2=b'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx…""" == m.to_string(pretty=True)
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def test_comparing():
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m = UltraSimpleModel(a=10.2, b='100')
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assert m == {'a': 10.2, 'b': 100}
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assert m == UltraSimpleModel(a=10.2, b=100)
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def test_nullable_strings_success():
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class NoneCheckModel(BaseModel):
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existing_str_value = 'foo'
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required_str_value: str = ...
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required_str_none_value: NoneStr = ...
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existing_bytes_value = b'foo'
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required_bytes_value: bytes = ...
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required_bytes_none_value: NoneBytes = ...
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m = NoneCheckModel(
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required_str_value='v1',
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required_str_none_value=None,
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required_bytes_value='v2',
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required_bytes_none_value=None,
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)
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assert m.required_str_value == 'v1'
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assert m.required_str_none_value is None
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assert m.required_bytes_value == b'v2'
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assert m.required_bytes_none_value is None
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def test_nullable_strings_fails():
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class NoneCheckModel(BaseModel):
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existing_str_value = 'foo'
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required_str_value: str = ...
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required_str_none_value: NoneStr = ...
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existing_bytes_value = b'foo'
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required_bytes_value: bytes = ...
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required_bytes_none_value: NoneBytes = ...
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try:
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NoneCheckModel(
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required_str_value=None,
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required_str_none_value=None,
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required_bytes_value=None,
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required_bytes_none_value=None,
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)
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except ValidationError as e:
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assert """\
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{
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"required_bytes_value": {
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"error_msg": "None is not an allow value",
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"error_type": "TypeError",
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"track": "bytes"
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},
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"required_str_value": {
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"error_msg": "None is not an allow value",
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"error_type": "TypeError",
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"track": "str"
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}
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}""" == json.dumps(pretty_errors(e.errors_raw), indent=2, sort_keys=True)
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class RecursiveModel(BaseModel):
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grape: bool = ...
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banana: UltraSimpleModel = ...
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def test_recursion():
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m = RecursiveModel(grape=1, banana={'a': 1})
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assert m.grape is True
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assert m.banana.a == 1.0
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assert m.banana.b == 10
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assert repr(m) == '<RecursiveModel grape=True banana=<UltraSimpleModel a=1.0 b=10>>'
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def test_recursion_fails():
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with pytest.raises(ValidationError):
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RecursiveModel(grape=1, banana=123)
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class PreventExtraModel(BaseModel):
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foo = 'whatever'
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class Config:
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ignore_extra = False
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def test_prevent_extra_success():
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m = PreventExtraModel()
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assert m.foo == 'whatever'
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m = PreventExtraModel(foo=1)
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assert m.foo == '1'
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def test_prevent_extra_fails():
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with pytest.raises(ValidationError) as exc_info:
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PreventExtraModel(foo='ok', bar='wrong', spam='xx')
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assert exc_info.value.message == '2 errors validating input'
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assert """\
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bar:
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extra fields not permitted (error_type=Extra)
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spam:
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extra fields not permitted (error_type=Extra)""" == exc_info.value.display_errors
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class InvalidValidator:
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@classmethod
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def get_validators(cls):
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yield cls.has_wrong_arguments
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@classmethod
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def has_wrong_arguments(cls, value, bar):
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pass
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def test_invalid_validator():
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with pytest.raises(ConfigError) as exc_info:
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class InvalidValidatorModel(BaseModel):
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x: InvalidValidator = ...
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assert exc_info.value.args[0].startswith('Invalid signature for validator')
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def test_no_validator():
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with pytest.raises(ConfigError) as exc_info:
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class NoValidatorModel(BaseModel):
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x: object = ...
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assert exc_info.value.args[0] == "no validator found for <class 'object'>"
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def test_unable_to_infer():
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with pytest.raises(ConfigError) as exc_info:
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class InvalidDefinitionModel(BaseModel):
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x = None
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assert exc_info.value.args[0] == 'unable to infer type for attribute "x"'
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def test_not_required():
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class Model(BaseModel):
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a: float = None
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assert Model(a=12.2).a == 12.2
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assert Model().a is None
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assert Model(a=None).a is None
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def test_infer_type():
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class Model(BaseModel):
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a = False
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b = ''
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c = 0
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assert Model().a is False
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assert Model().b == ''
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assert Model().c == 0
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def test_allow_extra():
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class Model(BaseModel):
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a: float = ...
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class Config:
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allow_extra = True
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assert Model(a='10.2', b=12).dict() == {'a': 10.2, 'b': 12}
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def test_set_attr():
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m = UltraSimpleModel(a=10.2)
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assert m.dict() == {'a': 10.2, 'b': 10}
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m.b = 20
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assert m.dict() == {'a': 10.2, 'b': 20}
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def test_set_attr_invalid():
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class UltraSimpleModel(BaseModel):
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a: float = ...
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b: int = 10
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m = UltraSimpleModel(a=10.2)
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assert m.dict() == {'a': 10.2, 'b': 10}
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with pytest.raises(ValueError) as exc_info:
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m.c = 20
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assert '"UltraSimpleModel" object has no field "c"' in str(exc_info)
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def test_any():
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class AnyModel(BaseModel):
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a: Any = 10
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assert AnyModel().a == 10
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assert AnyModel(a='foobar').a == 'foobar'
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def test_alias():
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class Model(BaseModel):
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a = 'foobar'
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class Config:
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fields = {
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'a': {'alias': '_a'}
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}
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assert Model().a == 'foobar'
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assert Model().dict() == {'a': 'foobar'}
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assert Model(_a='different').a == 'different'
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assert Model(_a='different').dict() == {'a': 'different'}
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def test_field_order():
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class Model(BaseModel):
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c: float
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b: int = 10
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a: str
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d: dict = {}
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# fields are ordered as defined except annotation-only fields come last
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assert list(Model.__fields__.keys()) == ['c', 'a', 'b', 'd']
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def test_required():
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# same as below but defined here so class definition occurs inside the test
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class Model(BaseModel):
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a: float = Required
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b: int = 10
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m = Model(a=10.2)
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assert m.dict() == dict(a=10.2, b=10)
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with pytest.raises(ValidationError) as exc_info:
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Model()
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assert """\
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error validating input
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a:
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field required (error_type=Missing)\
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""" == str(exc_info.value)
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def test_not_immutability():
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class TestModel(BaseModel):
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a: int = 10
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class Config:
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allow_mutation = True
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allow_extra = False
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m = TestModel()
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assert m.a == 10
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m.a = 11
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assert m.a == 11
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with pytest.raises(ValueError) as exc_info:
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m.b = 11
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assert '"TestModel" object has no field "b"' in str(exc_info)
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def test_immutability():
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class TestModel(BaseModel):
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a: int = 10
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class Config:
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allow_mutation = False
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allow_extra = False
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m = TestModel()
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assert m.a == 10
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with pytest.raises(TypeError) as exc_info:
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m.a = 11
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assert '"TestModel" is immutable and does not support item assignment' in str(exc_info)
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with pytest.raises(ValueError) as exc_info:
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m.b = 11
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assert '"TestModel" object has no field "b"' in str(exc_info)
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class ValidateAssignmentModel(BaseModel):
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a: int = 2
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b: constr(min_length=1)
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class Config:
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validate_assignment = True
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def test_validating_assignment_pass():
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p = ValidateAssignmentModel(a=5, b='hello')
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p.a = 2
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assert p.a == 2
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assert p.dict() == {'a': 2, 'b': 'hello'}
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p.b = 'hi'
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assert p.b == 'hi'
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assert p.dict() == {'a': 2, 'b': 'hi'}
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def test_validating_assignment_fail():
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p = ValidateAssignmentModel(a=5, b='hello')
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with pytest.raises(ValidationError) as exc_info:
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p.a = 'b'
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assert """error validating input
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a:
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invalid literal for int() with base 10: 'b' (error_type=ValueError track=int)""" == str(exc_info.value)
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with pytest.raises(ValidationError) as exc_info:
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p.b = ''
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assert """error validating input
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b:
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length less than minimum allowed: 1 (error_type=ValueError track=ConstrainedStrValue)""" == str(exc_info.value)
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