from enum import Enum from typing import Any, Dict, List, Set, Union import pytest from pydantic import BaseModel, NoneStrBytes, StrBytes, ValidationError def test_str_bytes(): class StrBytesModel(BaseModel): v: StrBytes = ... m = StrBytesModel(v='s') assert m.v == 's' assert (", " "]>") == repr(m.fields['v']) m = StrBytesModel(v=b'b') assert m.v == 'b' with pytest.raises(ValidationError) as exc_info: StrBytesModel(v=None) assert exc_info.value.message == '1 error validating input' assert """\ { "v": [ { "error_msg": "None is not an allow value", "error_type": "TypeError", "index": null, "track": "str" }, { "error_msg": "None is not an allow value", "error_type": "TypeError", "index": null, "track": "bytes" } ] }""" == exc_info.value.json(2) def test_str_bytes_none(): class StrBytesModel(BaseModel): v: NoneStrBytes = ... m = StrBytesModel(v='s') assert m.v == 's' m = StrBytesModel(v=b'b') assert m.v == 'b' m = StrBytesModel(v=None) assert m.v is None # NOTE not_none_validator removed assert ("OrderedDict([" "('type', 'typing.Union[str, bytes, NoneType]'), " "('required', True), " "('sub_fields', [" ", " "" "])])") == repr(m.fields['v'].info) def test_union_int_str(): class Model(BaseModel): v: Union[int, str] = ... m = Model(v=123) assert m.v == 123 m = Model(v='123') assert m.v == 123 m = Model(v=b'foobar') assert m.v == 'foobar' # here both validators work and it's impossible to work out which value "closer" m = Model(v=12.2) assert m.v == 12 with pytest.raises(ValidationError) as exc_info: Model(v=None) assert exc_info.value.message == '1 error validating input' assert """\ { "v": [ { "error_msg": "int() argument must be a string, a bytes-like object or a number, not 'NoneType'", "error_type": "TypeError", "index": null, "track": "int" }, { "error_msg": "None is not an allow value", "error_type": "TypeError", "index": null, "track": "str" } ] }""" == exc_info.value.json(2) def test_union_priority(): class ModelOne(BaseModel): v: Union[int, str] = ... class ModelTwo(BaseModel): v: Union[str, int] = ... assert ModelOne(v='123').v == 123 assert ModelTwo(v='123').v == '123' def test_typed_list(): class Model(BaseModel): v: List[int] = ... m = Model(v=[1, 2, '3']) assert m.v == [1, 2, 3] with pytest.raises(ValidationError) as exc_info: Model(v=[1, 'x', 'y']) assert exc_info.value.message == '1 error validating input' assert """\ { "v": [ { "error_msg": "invalid literal for int() with base 10: 'x'", "error_type": "ValueError", "index": 1, "track": "int" }, { "error_msg": "invalid literal for int() with base 10: 'y'", "error_type": "ValueError", "index": 2, "track": "int" } ] }""" == exc_info.value.json(2) with pytest.raises(ValidationError) as exc_info: Model(v=1) assert exc_info.value.message == '1 error validating input' assert """\ { "v": { "error_msg": "'int' object is not iterable", "error_type": "TypeError", "index": null, "track": null } }""" == exc_info.value.json(2) def test_typed_set(): class Model(BaseModel): v: Set[int] = ... assert Model(v={1, 2, '3'}).v == {1, 2, 3} assert Model(v=[1, 2, '3']).v == {1, 2, 3} with pytest.raises(ValidationError) as exc_info: Model(v=[1, 'x']) assert """\ 1 error validating input v: invalid literal for int() with base 10: 'x' (error_type=ValueError track=int index=1)""" == str(exc_info.value) class DictModel(BaseModel): v: Dict[str, int] = ... def test_dict_values(): assert DictModel(v={'foo': 1}).values() == {'v': {'foo': 1}} @pytest.mark.parametrize('value,result', [ ({'a': 2, 'b': 4}, {'a': 2, 'b': 4}), ({1: '2', 'b': 4}, {'1': 2, 'b': 4}), ([('a', 2), ('b', 4)], {'a': 2, 'b': 4}), ]) def test_typed_dict(value, result): assert DictModel(v=value).v == result @pytest.mark.parametrize('value,error', [ ( 1, """\ 1 error validating input v: 'int' object is not iterable (error_type=TypeError)""" ), ( {'a': 'b'}, """\ 1 error validating input v: invalid literal for int() with base 10: 'b' (error_type=ValueError track=int index=a)""" ), ( [1, 2, 3], """\ 1 error validating input v: cannot convert dictionary update sequence element #0 to a sequence (error_type=TypeError)""", ) ]) def test_typed_dict_error(value, error): with pytest.raises(ValidationError) as exc_info: DictModel(v=value) assert error == str(exc_info.value) def test_dict_key_error(): class DictIntModel(BaseModel): v: Dict[int, int] = ... assert DictIntModel(v={1: 2, '3': '4'}).v == {1: 2, 3: 4} with pytest.raises(ValidationError) as exc_info: DictIntModel(v={'foo': 2, '3': '4'}) assert """\ 1 error validating input v: invalid literal for int() with base 10: 'foo' (error_type=ValueError track=int index=key)""" == str(exc_info.value) def test_all_model_validator(): class OverModel(BaseModel): a: int = ... def validate_a_pre(self, v): return f'{v}1' def validate_a(self, v): assert isinstance(v, int) return f'{v}_main' def validate_a_post(self, v): assert isinstance(v, str) return f'{v}_post' m = OverModel(a=1) assert m.a == '11_main_post' class SubModel(BaseModel): name: str = ... count: int = None class MasterListModel(BaseModel): v: List[SubModel] = [] def test_recursive_list(): m = MasterListModel(v=[]) assert m.v == [] m = MasterListModel(v=[{'name': 'testing', 'count': 4}]) assert "]>" == repr(m) assert m.v[0].name == 'testing' assert m.v[0].count == 4 assert m.values() == {'v': [{'count': 4, 'name': 'testing'}]} with pytest.raises(ValidationError) as exc_info: MasterListModel(v=['x']) print(exc_info.value.json()) assert 'dictionary update sequence element #0 has length 1; 2 is required' in str(exc_info.value) def test_recursive_list_error(): with pytest.raises(ValidationError) as exc_info: MasterListModel(v=[{}]) assert """\ 1 error validating input v: 1 error validating input (error_type=ValidationError track=SubModel) name: field required (error_type=Missing)\ """ == str(exc_info.value) assert """\ { "v": [ { "error_details": { "name": { "error_msg": "field required", "error_type": "Missing", "index": null, "track": null } }, "error_msg": "1 error validating input", "error_type": "ValidationError", "index": 0, "track": "SubModel" } ] }""" == exc_info.value.json(2) def test_list_unions(): class Model(BaseModel): v: List[Union[int, str]] = ... assert Model(v=[123, '456', 'foobar']).v == [123, 456, 'foobar'] with pytest.raises(ValidationError) as exc_info: Model(v=[1, 2, None]) assert """\ 1 error validating input v: int() argument must be a string, a bytes-like object or a number, not 'NoneType' \ (error_type=TypeError track=int index=2) None is not an allow value (error_type=TypeError track=str index=2)\ """ == str(exc_info.value) def test_recursive_lists(): class Model(BaseModel): v: List[List[Union[int, float]]] = ... assert Model(v=[[1, 2], [3, '4', '4.1']]).v == [[1, 2], [3, 4, 4.1]] assert Model.__fields__['v'].sub_fields[0].name == '_v' assert len(Model.__fields__['v'].sub_fields) == 1 assert Model.__fields__['v'].sub_fields[0].sub_fields[0].name == '__v' assert len(Model.__fields__['v'].sub_fields[0].sub_fields) == 1 assert Model.__fields__['v'].sub_fields[0].sub_fields[0].sub_fields[1].name == '__v_float' assert len(Model.__fields__['v'].sub_fields[0].sub_fields[0].sub_fields) == 2 def test_str_enum(): class StrEnum(str, Enum): a = 'a10' b = 'b10' class Model(BaseModel): v: StrEnum = ... assert Model(v='a10').v is StrEnum.a with pytest.raises(ValidationError): Model(v='different') def test_any_dict(): class Model(BaseModel): v: Dict[int, Any] = ... assert Model(v={1: 'foobar'}).values() == {'v': {1: 'foobar'}} assert Model(v={123: 456}).values() == {'v': {123: 456}} assert Model(v={2: [1, 2, 3]}).values() == {'v': {2: [1, 2, 3]}} def test_infer_alias(): class Model(BaseModel): a = 'foobar' class Config: fields = {'a': '_a'} assert Model(_a='different').a == 'different' assert repr(Model.__fields__['a']) == ("") def test_alias_error(): class Model(BaseModel): a = 123 class Config: fields = {'a': '_a'} assert Model(_a='123').a == 123 with pytest.raises(ValidationError) as exc_info: Model(_a='foo') assert """\ 1 error validating input _a: invalid literal for int() with base 10: 'foo' (error_type=ValueError track=int)""" == str(exc_info.value) def test_annotation_config(): class Model(BaseModel): a: float b: int = 10 _c: str class Config: fields = {'a': 'foobar'} assert list(Model.__fields__.keys()) == ['b', 'a'] assert [f.alias for f in Model.__fields__.values()] == ['b', 'foobar'] assert Model(foobar='123').a == 123.0 def test_success_values_include(): class Model(BaseModel): a: int = 1 b: int = 2 c: int = 3 m = Model() assert m.values() == {'a': 1, 'b': 2, 'c': 3} assert m.values(include={'a'}) == {'a': 1} assert m.values(exclude={'a'}) == {'b': 2, 'c': 3} assert m.values(include={'a', 'b'}, exclude={'a'}) == {'b': 2} def test_values_order(): class Model(BaseModel): a: int = 1 b: int = 2 c: int = 3 m = Model(c=30, b=20, a=10) assert list(m) == [('a', 10), ('b', 20), ('c', 30)]