mirror of
https://github.com/kennethreitz/pydantic.git
synced 2026-06-05 23:00:18 +00:00
Nikita Grishko
4f4e22ef47
* POC of error context and message * Move type errors to the `errors.py` module; Change errors interface a bit * Rename `.as_dict()` to `.dict()` * Fix `PydanticErrorMixin` constructor * Rename `exceptions.py` to `error_wrappers.py` * Do not include nullable `ctx` * Fix tests * Added `int_validator`; Added `IntegerError` * Added `float_validator`; Added `FloatError` * Get rid of `__mro__` in prior of `exc.code` * Removed `min_number_size` and `max_number_size` from config (#174) * Added `NumberMinSizeError` and `NumberMaxSizeError` * Added `NoneIsNotAllowedError` * Added `EnumError` * Added `path_validator`; Added `PathError` * Added `DictError` * Added `ListError` * Added `TupleError` * Added `SetError` * Added `datetime` related errors * Added `bytes` and `str` related errors * Added `SequenceError` * Improved code coverage * Display error context in string representation of validation error * Redefine error message templates using config * Review fixes * Updated changelog
600 lines
15 KiB
Python
600 lines
15 KiB
Python
import re
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from decimal import Decimal
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from enum import Enum
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from typing import Any, Dict, List, Set, Union
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import pytest
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from pydantic import BaseConfig, BaseModel, NoneStrBytes, StrBytes, ValidationError, constr
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def test_str_bytes():
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class Model(BaseModel):
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v: StrBytes = ...
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m = Model(v='s')
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assert m.v == 's'
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assert ("<Field v: "
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"type='typing.Union[str, bytes]', "
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"required=True, "
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"sub_fields=["
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"<Field v_str: type='str', required=True, validators=['not_none_validator', 'str_validator', "
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"'anystr_strip_whitespace', 'anystr_length_validator']>, "
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"<Field v_bytes: type='bytes', required=True, validators=['not_none_validator', 'bytes_validator', "
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"'anystr_strip_whitespace', 'anystr_length_validator']>]>") == repr(m.fields['v'])
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m = Model(v=b'b')
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assert m.v == 'b'
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with pytest.raises(ValidationError) as exc_info:
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Model(v=None)
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assert exc_info.value.flatten_errors() == [
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{
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'loc': ('v',),
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'msg': 'none is not an allow value',
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'type': 'type_error.none.not_allowed',
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},
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{
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'loc': ('v',),
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'msg': 'none is not an allow value',
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'type': 'type_error.none.not_allowed',
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},
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]
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def test_str_bytes_none():
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class Model(BaseModel):
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v: NoneStrBytes = ...
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m = Model(v='s')
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assert m.v == 's'
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m = Model(v=b'b')
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assert m.v == 'b'
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m = Model(v=None)
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assert m.v is None
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# NOTE not_none_validator removed
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assert ("{'type': 'typing.Union[str, bytes, NoneType]', "
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"'required': True, "
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"'sub_fields': [<Field v_str: type='str', "
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"required=True, "
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"validators=['str_validator', 'anystr_strip_whitespace', 'anystr_length_validator']>, "
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"<Field v_bytes: type='bytes', required=True, validators=['bytes_validator', "
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"'anystr_strip_whitespace', 'anystr_length_validator']>]}") == repr(m.fields['v'].info)
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def test_union_int_str():
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class Model(BaseModel):
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v: Union[int, str] = ...
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m = Model(v=123)
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assert m.v == 123
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m = Model(v='123')
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assert m.v == 123
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m = Model(v=b'foobar')
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assert m.v == 'foobar'
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# here both validators work and it's impossible to work out which value "closer"
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m = Model(v=12.2)
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assert m.v == 12
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with pytest.raises(ValidationError) as exc_info:
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Model(v=None)
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assert exc_info.value.flatten_errors() == [
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{
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'loc': ('v',),
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'msg': 'value is not a valid integer',
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'type': 'type_error.integer',
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},
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{
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'loc': ('v',),
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'msg': 'none is not an allow value',
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'type': 'type_error.none.not_allowed',
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},
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]
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def test_union_priority():
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class ModelOne(BaseModel):
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v: Union[int, str] = ...
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class ModelTwo(BaseModel):
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v: Union[str, int] = ...
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assert ModelOne(v='123').v == 123
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assert ModelTwo(v='123').v == '123'
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def test_typed_list():
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class Model(BaseModel):
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v: List[int] = ...
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m = Model(v=[1, 2, '3'])
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assert m.v == [1, 2, 3]
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with pytest.raises(ValidationError) as exc_info:
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Model(v=[1, 'x', 'y'])
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assert exc_info.value.flatten_errors() == [
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{
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'loc': ('v', 1),
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'msg': 'value is not a valid integer',
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'type': 'type_error.integer',
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},
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{
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'loc': ('v', 2),
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'msg': 'value is not a valid integer',
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'type': 'type_error.integer',
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},
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]
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with pytest.raises(ValidationError) as exc_info:
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Model(v=1)
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assert exc_info.value.flatten_errors() == [
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{
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'loc': ('v',),
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'msg': 'value is not a valid sequence',
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'type': 'type_error.sequence',
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},
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]
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def test_typed_set():
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class Model(BaseModel):
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v: Set[int] = ...
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assert Model(v={1, 2, '3'}).v == {1, 2, 3}
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assert Model(v=[1, 2, '3']).v == {1, 2, 3}
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with pytest.raises(ValidationError) as exc_info:
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Model(v=[1, 'x'])
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assert exc_info.value.flatten_errors() == [
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{
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'loc': ('v', 1),
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'msg': 'value is not a valid integer',
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'type': 'type_error.integer',
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},
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]
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def test_dict_dict():
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class Model(BaseModel):
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v: Dict[str, int] = ...
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assert Model(v={'foo': 1}).dict() == {'v': {'foo': 1}}
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@pytest.mark.parametrize('value,result', [
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({'a': 2, 'b': 4}, {'a': 2, 'b': 4}),
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({1: '2', 'b': 4}, {'1': 2, 'b': 4}),
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([('a', 2), ('b', 4)], {'a': 2, 'b': 4}),
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])
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def test_typed_dict(value, result):
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class Model(BaseModel):
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v: Dict[str, int] = ...
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assert Model(v=value).v == result
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@pytest.mark.parametrize('value,errors', [
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(
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1,
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[
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{
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'loc': ('v',),
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'msg': 'value is not a valid dict',
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'type': 'type_error.dict',
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},
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],
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),
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(
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{'a': 'b'},
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[
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{
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'loc': ('v', 'a'),
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'msg': 'value is not a valid integer',
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'type': 'type_error.integer',
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},
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],
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),
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(
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[1, 2, 3],
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[
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{
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'loc': ('v',),
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'msg': 'value is not a valid dict',
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'type': 'type_error.dict',
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},
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],
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),
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])
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def test_typed_dict_error(value, errors):
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class Model(BaseModel):
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v: Dict[str, int] = ...
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with pytest.raises(ValidationError) as exc_info:
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Model(v=value)
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assert exc_info.value.flatten_errors() == errors
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def test_dict_key_error():
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class Model(BaseModel):
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v: Dict[int, int] = ...
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assert Model(v={1: 2, '3': '4'}).v == {1: 2, 3: 4}
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with pytest.raises(ValidationError) as exc_info:
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Model(v={'foo': 2, '3': '4'})
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assert exc_info.value.flatten_errors() == [
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{
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'loc': ('v', '__key__'),
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'msg': 'value is not a valid integer',
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'type': 'type_error.integer',
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},
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]
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# TODO re-add when implementing better model validators
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# def test_all_model_validator():
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# class OverModel(BaseModel):
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# a: int = ...
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#
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# def validate_a_pre(self, v):
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# return f'{v}1'
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#
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# def validate_a(self, v):
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# assert isinstance(v, int)
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# return f'{v}_main'
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#
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# def validate_a_post(self, v):
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# assert isinstance(v, str)
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# return f'{v}_post'
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#
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# m = OverModel(a=1)
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# assert m.a == '11_main_post'
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def test_recursive_list():
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class SubModel(BaseModel):
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name: str = ...
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count: int = None
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class Model(BaseModel):
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v: List[SubModel] = []
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m = Model(v=[])
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assert m.v == []
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m = Model(v=[{'name': 'testing', 'count': 4}])
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assert "<Model v=[<SubModel name='testing' count=4>]>" == repr(m)
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assert m.v[0].name == 'testing'
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assert m.v[0].count == 4
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assert m.dict() == {'v': [{'count': 4, 'name': 'testing'}]}
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with pytest.raises(ValidationError) as exc_info:
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Model(v=['x'])
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assert exc_info.value.flatten_errors() == [
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{
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'loc': ('v', 0),
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'msg': 'value is not a valid dict',
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'type': 'type_error.dict',
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},
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]
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def test_recursive_list_error():
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class SubModel(BaseModel):
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name: str = ...
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count: int = None
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class Model(BaseModel):
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v: List[SubModel] = []
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with pytest.raises(ValidationError) as exc_info:
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Model(v=[{}])
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assert exc_info.value.flatten_errors() == [
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{
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'loc': ('v', 0, 'name'),
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'msg': 'field required',
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'type': 'value_error.missing',
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},
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]
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def test_list_unions():
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class Model(BaseModel):
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v: List[Union[int, str]] = ...
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assert Model(v=[123, '456', 'foobar']).v == [123, 456, 'foobar']
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with pytest.raises(ValidationError) as exc_info:
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Model(v=[1, 2, None])
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assert exc_info.value.flatten_errors() == [
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{
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'loc': ('v', 2),
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'msg': 'value is not a valid integer',
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'type': 'type_error.integer',
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},
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{
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'loc': ('v', 2),
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'msg': 'none is not an allow value',
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'type': 'type_error.none.not_allowed',
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},
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]
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def test_recursive_lists():
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class Model(BaseModel):
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v: List[List[Union[int, float]]] = ...
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assert Model(v=[[1, 2], [3, '4', '4.1']]).v == [[1, 2], [3, 4, 4.1]]
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assert Model.__fields__['v'].sub_fields[0].name == '_v'
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assert len(Model.__fields__['v'].sub_fields) == 1
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assert Model.__fields__['v'].sub_fields[0].sub_fields[0].name == '__v'
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assert len(Model.__fields__['v'].sub_fields[0].sub_fields) == 1
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assert Model.__fields__['v'].sub_fields[0].sub_fields[0].sub_fields[1].name == '__v_float'
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assert len(Model.__fields__['v'].sub_fields[0].sub_fields[0].sub_fields) == 2
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class StrEnum(str, Enum):
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a = 'a10'
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b = 'b10'
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def test_str_enum():
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class Model(BaseModel):
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v: StrEnum = ...
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assert Model(v='a10').v is StrEnum.a
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with pytest.raises(ValidationError):
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Model(v='different')
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def test_any_dict():
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class Model(BaseModel):
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v: Dict[int, Any] = ...
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assert Model(v={1: 'foobar'}).dict() == {'v': {1: 'foobar'}}
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assert Model(v={123: 456}).dict() == {'v': {123: 456}}
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assert Model(v={2: [1, 2, 3]}).dict() == {'v': {2: [1, 2, 3]}}
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def test_infer_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 = {'a': '_a'}
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assert Model(_a='different').a == 'different'
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assert repr(Model.__fields__['a']) == ("<Field a (alias '_a'): type='str', default='foobar',"
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" required=False, validators=['not_none_validator', 'str_validator',"
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" 'anystr_strip_whitespace', 'anystr_length_validator']>")
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def test_alias_error():
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class Model(BaseModel):
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a = 123
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class Config:
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fields = {'a': '_a'}
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assert Model(_a='123').a == 123
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with pytest.raises(ValidationError) as exc_info:
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Model(_a='foo')
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assert exc_info.value.flatten_errors() == [
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{
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'loc': ('_a',),
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'msg': 'value is not a valid integer',
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'type': 'type_error.integer',
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},
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]
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def test_annotation_config():
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class Model(BaseModel):
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b: float
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a: int = 10
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_c: str
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class Config:
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fields = {'b': 'foobar'}
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assert list(Model.__fields__.keys()) == ['b', 'a']
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assert [f.alias for f in Model.__fields__.values()] == ['foobar', 'a']
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assert Model(foobar='123').b == 123.0
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def test_success_values_include():
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class Model(BaseModel):
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a: int = 1
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b: int = 2
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c: int = 3
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m = Model()
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assert m.dict() == {'a': 1, 'b': 2, 'c': 3}
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assert m.dict(include={'a'}) == {'a': 1}
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assert m.dict(exclude={'a'}) == {'b': 2, 'c': 3}
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assert m.dict(include={'a', 'b'}, exclude={'a'}) == {'b': 2}
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def test_values_order():
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class Model(BaseModel):
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a: int = 1
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b: int = 2
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c: int = 3
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m = Model(c=30, b=20, a=10)
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assert list(m) == [('a', 10), ('b', 20), ('c', 30)]
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def test_inheritance():
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class Foo(BaseModel):
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a: float = ...
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class Bar(Foo):
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x: float = 12.3
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a = 123
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assert Bar().dict() == {'x': 12.3, 'a': 123}
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def test_invalid_type():
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with pytest.raises(RuntimeError) as exc_info:
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class Model(BaseModel):
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x: 43 = 123
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assert "error checking inheritance of 43 (type: int)" in str(exc_info)
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@pytest.mark.parametrize('value,expected', [
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('a string', 'a string'),
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(b'some bytes', 'some bytes'),
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(bytearray('foobar', encoding='utf8'), 'foobar'),
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(123, '123'),
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(123.45, '123.45'),
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(Decimal('12.45'), '12.45'),
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(True, 'True'),
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(False, 'False'),
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(StrEnum.a, 'a10'),
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])
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def test_valid_string_types(value, expected):
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class Model(BaseModel):
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v: str
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assert Model(v=value).v == expected
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@pytest.mark.parametrize('value,errors', [
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(
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{'foo': 'bar'},
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[
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{
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'loc': ('v',),
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'msg': 'str type expected',
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'type': 'type_error.str',
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},
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],
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),
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(
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[1, 2, 3],
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[
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{
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'loc': ('v',),
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'msg': 'str type expected',
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'type': 'type_error.str',
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},
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],
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)
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])
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def test_invalid_string_types(value, errors):
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class Model(BaseModel):
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v: str
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with pytest.raises(ValidationError) as exc_info:
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Model(v=value)
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assert exc_info.value.flatten_errors() == errors
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def test_inheritance_config():
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class Parent(BaseModel):
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a: int
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class Child(Parent):
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b: str
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class Config:
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fields = {
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'a': 'aaa',
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'b': 'bbb',
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}
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m = Child(aaa=1, bbb='s')
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assert str(m) == "Child a=1 b='s'"
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def test_partial_inheritance_config():
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class Parent(BaseModel):
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a: int
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class Config:
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fields = {
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'a': 'aaa',
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}
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class Child(Parent):
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b: str
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class Config:
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fields = {
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'b': 'bbb',
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}
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m = Child(aaa=1, bbb='s')
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assert str(m) == "Child a=1 b='s'"
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def test_string_none():
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class Model(BaseModel):
|
|
a: constr(min_length=20, max_length=1000) = ...
|
|
|
|
class Config:
|
|
ignore_extra = True
|
|
|
|
with pytest.raises(ValidationError) as exc_info:
|
|
Model(a=None)
|
|
assert exc_info.value.flatten_errors() == [
|
|
{
|
|
'loc': ('a',),
|
|
'msg': 'none is not an allow value',
|
|
'type': 'type_error.none.not_allowed',
|
|
},
|
|
]
|
|
|
|
|
|
def test_alias_camel_case():
|
|
class Model(BaseModel):
|
|
one_thing: int
|
|
another_thing: int
|
|
|
|
class Config(BaseConfig):
|
|
@classmethod
|
|
def get_field_config(cls, name):
|
|
field_config = super().get_field_config(name) or {}
|
|
if 'alias' not in field_config:
|
|
field_config['alias'] = re.sub(r'(?:^|_)([a-z])', lambda m: m.group(1).upper(), name)
|
|
return field_config
|
|
|
|
v = Model(**{'OneThing': 123, 'AnotherThing': '321'})
|
|
assert v.one_thing == 123
|
|
assert v.another_thing == 321
|
|
assert v == {'one_thing': 123, 'another_thing': 321}
|
|
|
|
|
|
def test_get_field_config_inherit():
|
|
class ModelOne(BaseModel):
|
|
class Config(BaseConfig):
|
|
@classmethod
|
|
def get_field_config(cls, name):
|
|
field_config = super().get_field_config(name) or {}
|
|
if 'alias' not in field_config:
|
|
field_config['alias'] = re.sub(r'_([a-z])', lambda m: m.group(1).upper(), name)
|
|
return field_config
|
|
|
|
class ModelTwo(ModelOne):
|
|
one_thing: int
|
|
another_thing: int
|
|
third_thing: int
|
|
|
|
class Config:
|
|
fields = {
|
|
'third_thing': 'Banana'
|
|
}
|
|
|
|
v = ModelTwo(**{'oneThing': 123, 'anotherThing': '321', 'Banana': 1})
|
|
assert v == {'one_thing': 123, 'another_thing': 321, 'third_thing': 1}
|