from typing import Dict, List, 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) class DictModel(BaseModel): v: Dict[str, int] = ... @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, """{ "v": { "error_msg": "'int' object is not iterable", "error_type": "TypeError", "index": null, "track": null } }""" ), ( {'a': 'b'}, """{ "v": [ [ null, { "error_msg": "invalid literal for int() with base 10: 'b'", "error_type": "ValueError", "index": "a", "track": "int" } ] ] }""" ), ( [1, 2, 3], """{ "v": { "error_msg": "cannot convert dictionary update sequence element #0 to a sequence", "error_type": "TypeError", "index": null, "track": null } }""", ) ]) def test_typed_dict_error(value, error): with pytest.raises(ValidationError) as exc_info: DictModel(v=value) assert error == exc_info.value.json(2) 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' def test_recursive_list(): class SubModel(BaseModel): name: str = ... count: int = None class Model(BaseModel): v: List[SubModel] = [] m = Model(v=[]) assert m.v == [] m = Model(v=[{'name': 'testing', 'count': 4}]) assert "]>" == repr(m) assert m.v[0].name == 'testing' assert m.v[0].count == 4 with pytest.raises(ValidationError) as exc_info: Model(v=['x']) assert 'dictionary update sequence element #0 has length 1; 2 is required' in exc_info.value.args[0] with pytest.raises(ValidationError) as exc_info: Model(v=[{}]) 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 """\ { "v": [ [ { "error_msg": "int() argument must be a string, a bytes-like object or a number, not 'NoneType'", "error_type": "TypeError", "index": 2, "track": "int" }, { "error_msg": "None is not an allow value", "error_type": "TypeError", "index": 2, "track": "str" } ] ] }""" == exc_info.value.json(2) 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