Coverage for pydantic/_internal/_decorators.py: 97.58%

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1"""Logic related to validators applied to models etc. via the `@field_validator` and `@model_validator` decorators.""" 

2 

3from __future__ import annotations as _annotations 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

4 

5import types 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

6from collections import deque 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

7from collections.abc import Iterable 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

8from dataclasses import dataclass, field 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

9from functools import cached_property, partial, partialmethod 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

10from inspect import Parameter, Signature, isdatadescriptor, ismethoddescriptor, signature 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

11from itertools import islice 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

12from typing import TYPE_CHECKING, Any, Callable, ClassVar, Generic, Literal, TypeVar, Union 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

13 

14from pydantic_core import PydanticUndefined, PydanticUndefinedType, core_schema 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

15from typing_extensions import TypeAlias, is_typeddict 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

16 

17from ..errors import PydanticUserError 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

18from ._core_utils import get_type_ref 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

19from ._internal_dataclass import slots_true 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

20from ._namespace_utils import GlobalsNamespace, MappingNamespace 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

21from ._typing_extra import get_function_type_hints 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

22from ._utils import can_be_positional 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

23 

24if TYPE_CHECKING: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

25 from ..fields import ComputedFieldInfo 

26 from ..functional_validators import FieldValidatorModes 

27 from ._config import ConfigWrapper 

28 

29 

30@dataclass(**slots_true) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

31class ValidatorDecoratorInfo: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

32 """A container for data from `@validator` so that we can access it 

33 while building the pydantic-core schema. 

34 

35 Attributes: 

36 decorator_repr: A class variable representing the decorator string, '@validator'. 

37 fields: A tuple of field names the validator should be called on. 

38 mode: The proposed validator mode. 

39 each_item: For complex objects (sets, lists etc.) whether to validate individual 

40 elements rather than the whole object. 

41 always: Whether this method and other validators should be called even if the value is missing. 

42 check_fields: Whether to check that the fields actually exist on the model. 

43 """ 

44 

45 decorator_repr: ClassVar[str] = '@validator' 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

46 

47 fields: tuple[str, ...] 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

48 mode: Literal['before', 'after'] 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

49 each_item: bool 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

50 always: bool 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

51 check_fields: bool | None 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

52 

53 

54@dataclass(**slots_true) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

55class FieldValidatorDecoratorInfo: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

56 """A container for data from `@field_validator` so that we can access it 

57 while building the pydantic-core schema. 

58 

59 Attributes: 

60 decorator_repr: A class variable representing the decorator string, '@field_validator'. 

61 fields: A tuple of field names the validator should be called on. 

62 mode: The proposed validator mode. 

63 check_fields: Whether to check that the fields actually exist on the model. 

64 json_schema_input_type: The input type of the function. This is only used to generate 

65 the appropriate JSON Schema (in validation mode) and can only specified 

66 when `mode` is either `'before'`, `'plain'` or `'wrap'`. 

67 """ 

68 

69 decorator_repr: ClassVar[str] = '@field_validator' 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

70 

71 fields: tuple[str, ...] 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

72 mode: FieldValidatorModes 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

73 check_fields: bool | None 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

74 json_schema_input_type: Any 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

75 

76 

77@dataclass(**slots_true) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

78class RootValidatorDecoratorInfo: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

79 """A container for data from `@root_validator` so that we can access it 

80 while building the pydantic-core schema. 

81 

82 Attributes: 

83 decorator_repr: A class variable representing the decorator string, '@root_validator'. 

84 mode: The proposed validator mode. 

85 """ 

86 

87 decorator_repr: ClassVar[str] = '@root_validator' 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

88 mode: Literal['before', 'after'] 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

89 

90 

91@dataclass(**slots_true) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

92class FieldSerializerDecoratorInfo: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

93 """A container for data from `@field_serializer` so that we can access it 

94 while building the pydantic-core schema. 

95 

96 Attributes: 

97 decorator_repr: A class variable representing the decorator string, '@field_serializer'. 

98 fields: A tuple of field names the serializer should be called on. 

99 mode: The proposed serializer mode. 

100 return_type: The type of the serializer's return value. 

101 when_used: The serialization condition. Accepts a string with values `'always'`, `'unless-none'`, `'json'`, 

102 and `'json-unless-none'`. 

103 check_fields: Whether to check that the fields actually exist on the model. 

104 """ 

105 

106 decorator_repr: ClassVar[str] = '@field_serializer' 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

107 fields: tuple[str, ...] 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

108 mode: Literal['plain', 'wrap'] 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

109 return_type: Any 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

110 when_used: core_schema.WhenUsed 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

111 check_fields: bool | None 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

112 

113 

114@dataclass(**slots_true) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

115class ModelSerializerDecoratorInfo: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

116 """A container for data from `@model_serializer` so that we can access it 

117 while building the pydantic-core schema. 

118 

119 Attributes: 

120 decorator_repr: A class variable representing the decorator string, '@model_serializer'. 

121 mode: The proposed serializer mode. 

122 return_type: The type of the serializer's return value. 

123 when_used: The serialization condition. Accepts a string with values `'always'`, `'unless-none'`, `'json'`, 

124 and `'json-unless-none'`. 

125 """ 

126 

127 decorator_repr: ClassVar[str] = '@model_serializer' 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

128 mode: Literal['plain', 'wrap'] 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

129 return_type: Any 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

130 when_used: core_schema.WhenUsed 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

131 

132 

133@dataclass(**slots_true) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

134class ModelValidatorDecoratorInfo: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

135 """A container for data from `@model_validator` so that we can access it 

136 while building the pydantic-core schema. 

137 

138 Attributes: 

139 decorator_repr: A class variable representing the decorator string, '@model_validator'. 

140 mode: The proposed serializer mode. 

141 """ 

142 

143 decorator_repr: ClassVar[str] = '@model_validator' 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

144 mode: Literal['wrap', 'before', 'after'] 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

145 

146 

147DecoratorInfo: TypeAlias = """Union[ 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

148 ValidatorDecoratorInfo, 

149 FieldValidatorDecoratorInfo, 

150 RootValidatorDecoratorInfo, 

151 FieldSerializerDecoratorInfo, 

152 ModelSerializerDecoratorInfo, 

153 ModelValidatorDecoratorInfo, 

154 ComputedFieldInfo, 

155]""" 

156 

157ReturnType = TypeVar('ReturnType') 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

158DecoratedType: TypeAlias = ( 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

159 'Union[classmethod[Any, Any, ReturnType], staticmethod[Any, ReturnType], Callable[..., ReturnType], property]' 

160) 

161 

162 

163@dataclass # can't use slots here since we set attributes on `__post_init__` 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

164class PydanticDescriptorProxy(Generic[ReturnType]): 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

165 """Wrap a classmethod, staticmethod, property or unbound function 

166 and act as a descriptor that allows us to detect decorated items 

167 from the class' attributes. 

168 

169 This class' __get__ returns the wrapped item's __get__ result, 

170 which makes it transparent for classmethods and staticmethods. 

171 

172 Attributes: 

173 wrapped: The decorator that has to be wrapped. 

174 decorator_info: The decorator info. 

175 shim: A wrapper function to wrap V1 style function. 

176 """ 

177 

178 wrapped: DecoratedType[ReturnType] 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

179 decorator_info: DecoratorInfo 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

180 shim: Callable[[Callable[..., Any]], Callable[..., Any]] | None = None 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

181 

182 def __post_init__(self): 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

183 for attr in 'setter', 'deleter': 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

184 if hasattr(self.wrapped, attr): 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

185 f = partial(self._call_wrapped_attr, name=attr) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

186 setattr(self, attr, f) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

187 

188 def _call_wrapped_attr(self, func: Callable[[Any], None], *, name: str) -> PydanticDescriptorProxy[ReturnType]: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

189 self.wrapped = getattr(self.wrapped, name)(func) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

190 if isinstance(self.wrapped, property): 190 ↛ 196line 190 didn't jump to line 196 because the condition on line 190 was always true1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

191 # update ComputedFieldInfo.wrapped_property 

192 from ..fields import ComputedFieldInfo 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

193 

194 if isinstance(self.decorator_info, ComputedFieldInfo): 194 ↛ 196line 194 didn't jump to line 196 because the condition on line 194 was always true1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

195 self.decorator_info.wrapped_property = self.wrapped 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

196 return self 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

197 

198 def __get__(self, obj: object | None, obj_type: type[object] | None = None) -> PydanticDescriptorProxy[ReturnType]: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

199 try: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

200 return self.wrapped.__get__(obj, obj_type) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

201 except AttributeError: 1stabcdefzyuvghijklwxmnopqr

202 # not a descriptor, e.g. a partial object 

203 return self.wrapped # type: ignore[return-value] 1stabcdefzyuvghijklwxmnopqr

204 

205 def __set_name__(self, instance: Any, name: str) -> None: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

206 if hasattr(self.wrapped, '__set_name__'): 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

207 self.wrapped.__set_name__(instance, name) # pyright: ignore[reportFunctionMemberAccess] 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

208 

209 def __getattr__(self, name: str, /) -> Any: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

210 """Forward checks for __isabstractmethod__ and such.""" 

211 return getattr(self.wrapped, name) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

212 

213 

214DecoratorInfoType = TypeVar('DecoratorInfoType', bound=DecoratorInfo) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

215 

216 

217@dataclass(**slots_true) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

218class Decorator(Generic[DecoratorInfoType]): 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

219 """A generic container class to join together the decorator metadata 

220 (metadata from decorator itself, which we have when the 

221 decorator is called but not when we are building the core-schema) 

222 and the bound function (which we have after the class itself is created). 

223 

224 Attributes: 

225 cls_ref: The class ref. 

226 cls_var_name: The decorated function name. 

227 func: The decorated function. 

228 shim: A wrapper function to wrap V1 style function. 

229 info: The decorator info. 

230 """ 

231 

232 cls_ref: str 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

233 cls_var_name: str 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

234 func: Callable[..., Any] 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

235 shim: Callable[[Any], Any] | None 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

236 info: DecoratorInfoType 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

237 

238 @staticmethod 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

239 def build( 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

240 cls_: Any, 

241 *, 

242 cls_var_name: str, 

243 shim: Callable[[Any], Any] | None, 

244 info: DecoratorInfoType, 

245 ) -> Decorator[DecoratorInfoType]: 

246 """Build a new decorator. 

247 

248 Args: 

249 cls_: The class. 

250 cls_var_name: The decorated function name. 

251 shim: A wrapper function to wrap V1 style function. 

252 info: The decorator info. 

253 

254 Returns: 

255 The new decorator instance. 

256 """ 

257 func = get_attribute_from_bases(cls_, cls_var_name) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

258 if shim is not None: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

259 func = shim(func) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

260 func = unwrap_wrapped_function(func, unwrap_partial=False) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

261 if not callable(func): 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

262 # This branch will get hit for classmethod properties 

263 attribute = get_attribute_from_base_dicts(cls_, cls_var_name) # prevents the binding call to `__get__` 1stabcdefzyuvghijklwxmnopqr

264 if isinstance(attribute, PydanticDescriptorProxy): 264 ↛ 266line 264 didn't jump to line 266 because the condition on line 264 was always true1stabcdefzyuvghijklwxmnopqr

265 func = unwrap_wrapped_function(attribute.wrapped) 1stabcdefzyuvghijklwxmnopqr

266 return Decorator( 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

267 cls_ref=get_type_ref(cls_), 

268 cls_var_name=cls_var_name, 

269 func=func, 

270 shim=shim, 

271 info=info, 

272 ) 

273 

274 def bind_to_cls(self, cls: Any) -> Decorator[DecoratorInfoType]: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

275 """Bind the decorator to a class. 

276 

277 Args: 

278 cls: the class. 

279 

280 Returns: 

281 The new decorator instance. 

282 """ 

283 return self.build( 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

284 cls, 

285 cls_var_name=self.cls_var_name, 

286 shim=self.shim, 

287 info=self.info, 

288 ) 

289 

290 

291def get_bases(tp: type[Any]) -> tuple[type[Any], ...]: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

292 """Get the base classes of a class or typeddict. 

293 

294 Args: 

295 tp: The type or class to get the bases. 

296 

297 Returns: 

298 The base classes. 

299 """ 

300 if is_typeddict(tp): 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

301 return tp.__orig_bases__ # type: ignore 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

302 try: 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

303 return tp.__bases__ 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

304 except AttributeError: 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

305 return () 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

306 

307 

308def mro(tp: type[Any]) -> tuple[type[Any], ...]: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

309 """Calculate the Method Resolution Order of bases using the C3 algorithm. 

310 

311 See https://www.python.org/download/releases/2.3/mro/ 

312 """ 

313 # try to use the existing mro, for performance mainly 

314 # but also because it helps verify the implementation below 

315 if not is_typeddict(tp): 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

316 try: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

317 return tp.__mro__ 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

318 except AttributeError: 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

319 # GenericAlias and some other cases 

320 pass 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

321 

322 bases = get_bases(tp) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

323 return (tp,) + mro_for_bases(bases) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

324 

325 

326def mro_for_bases(bases: tuple[type[Any], ...]) -> tuple[type[Any], ...]: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

327 def merge_seqs(seqs: list[deque[type[Any]]]) -> Iterable[type[Any]]: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

328 while True: 1abcdefABCDMyghijklEFGHNPmnopqrIJKLO

329 non_empty = [seq for seq in seqs if seq] 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

330 if not non_empty: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

331 # Nothing left to process, we're done. 

332 return 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

333 candidate: type[Any] | None = None 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

334 for seq in non_empty: # Find merge candidates among seq heads. 334 ↛ 342line 334 didn't jump to line 342 because the loop on line 334 didn't complete1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

335 candidate = seq[0] 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

336 not_head = [s for s in non_empty if candidate in islice(s, 1, None)] 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

337 if not_head: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

338 # Reject the candidate. 

339 candidate = None 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

340 else: 

341 break 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

342 if not candidate: 342 ↛ 343line 342 didn't jump to line 343 because the condition on line 342 was never true1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

343 raise TypeError('Inconsistent hierarchy, no C3 MRO is possible') 

344 yield candidate 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

345 for seq in non_empty: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

346 # Remove candidate. 

347 if seq[0] == candidate: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

348 seq.popleft() 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

349 

350 seqs = [deque(mro(base)) for base in bases] + [deque(bases)] 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

351 return tuple(merge_seqs(seqs)) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

352 

353 

354_sentinel = object() 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

355 

356 

357def get_attribute_from_bases(tp: type[Any] | tuple[type[Any], ...], name: str) -> Any: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

358 """Get the attribute from the next class in the MRO that has it, 

359 aiming to simulate calling the method on the actual class. 

360 

361 The reason for iterating over the mro instead of just getting 

362 the attribute (which would do that for us) is to support TypedDict, 

363 which lacks a real __mro__, but can have a virtual one constructed 

364 from its bases (as done here). 

365 

366 Args: 

367 tp: The type or class to search for the attribute. If a tuple, this is treated as a set of base classes. 

368 name: The name of the attribute to retrieve. 

369 

370 Returns: 

371 Any: The attribute value, if found. 

372 

373 Raises: 

374 AttributeError: If the attribute is not found in any class in the MRO. 

375 """ 

376 if isinstance(tp, tuple): 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

377 for base in mro_for_bases(tp): 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

378 attribute = base.__dict__.get(name, _sentinel) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

379 if attribute is not _sentinel: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

380 attribute_get = getattr(attribute, '__get__', None) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

381 if attribute_get is not None: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

382 return attribute_get(None, tp) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

383 return attribute 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

384 raise AttributeError(f'{name} not found in {tp}') 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

385 else: 

386 try: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

387 return getattr(tp, name) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

388 except AttributeError: 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

389 return get_attribute_from_bases(mro(tp), name) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

390 

391 

392def get_attribute_from_base_dicts(tp: type[Any], name: str) -> Any: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

393 """Get an attribute out of the `__dict__` following the MRO. 

394 This prevents the call to `__get__` on the descriptor, and allows 

395 us to get the original function for classmethod properties. 

396 

397 Args: 

398 tp: The type or class to search for the attribute. 

399 name: The name of the attribute to retrieve. 

400 

401 Returns: 

402 Any: The attribute value, if found. 

403 

404 Raises: 

405 KeyError: If the attribute is not found in any class's `__dict__` in the MRO. 

406 """ 

407 for base in reversed(mro(tp)): 407 ↛ 410line 407 didn't jump to line 410 because the loop on line 407 didn't complete1stabcdefzyuvghijklwxmnopqr

408 if name in base.__dict__: 1stabcdefzyuvghijklwxmnopqr

409 return base.__dict__[name] 1stabcdefzyuvghijklwxmnopqr

410 return tp.__dict__[name] # raise the error 

411 

412 

413@dataclass(**slots_true) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

414class DecoratorInfos: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

415 """Mapping of name in the class namespace to decorator info. 

416 

417 note that the name in the class namespace is the function or attribute name 

418 not the field name! 

419 """ 

420 

421 validators: dict[str, Decorator[ValidatorDecoratorInfo]] = field(default_factory=dict) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

422 field_validators: dict[str, Decorator[FieldValidatorDecoratorInfo]] = field(default_factory=dict) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

423 root_validators: dict[str, Decorator[RootValidatorDecoratorInfo]] = field(default_factory=dict) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

424 field_serializers: dict[str, Decorator[FieldSerializerDecoratorInfo]] = field(default_factory=dict) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

425 model_serializers: dict[str, Decorator[ModelSerializerDecoratorInfo]] = field(default_factory=dict) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

426 model_validators: dict[str, Decorator[ModelValidatorDecoratorInfo]] = field(default_factory=dict) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

427 computed_fields: dict[str, Decorator[ComputedFieldInfo]] = field(default_factory=dict) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

428 

429 @staticmethod 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

430 def build(model_dc: type[Any]) -> DecoratorInfos: # noqa: C901 (ignore complexity) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

431 """We want to collect all DecFunc instances that exist as 

432 attributes in the namespace of the class (a BaseModel or dataclass) 

433 that called us 

434 But we want to collect these in the order of the bases 

435 So instead of getting them all from the leaf class (the class that called us), 

436 we traverse the bases from root (the oldest ancestor class) to leaf 

437 and collect all of the instances as we go, taking care to replace 

438 any duplicate ones with the last one we see to mimic how function overriding 

439 works with inheritance. 

440 If we do replace any functions we put the replacement into the position 

441 the replaced function was in; that is, we maintain the order. 

442 """ 

443 # reminder: dicts are ordered and replacement does not alter the order 

444 res = DecoratorInfos() 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

445 for base in reversed(mro(model_dc)[1:]): 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

446 existing: DecoratorInfos | None = base.__dict__.get('__pydantic_decorators__') 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

447 if existing is None: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

448 existing = DecoratorInfos.build(base) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

449 res.validators.update({k: v.bind_to_cls(model_dc) for k, v in existing.validators.items()}) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

450 res.field_validators.update({k: v.bind_to_cls(model_dc) for k, v in existing.field_validators.items()}) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

451 res.root_validators.update({k: v.bind_to_cls(model_dc) for k, v in existing.root_validators.items()}) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

452 res.field_serializers.update({k: v.bind_to_cls(model_dc) for k, v in existing.field_serializers.items()}) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

453 res.model_serializers.update({k: v.bind_to_cls(model_dc) for k, v in existing.model_serializers.items()}) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

454 res.model_validators.update({k: v.bind_to_cls(model_dc) for k, v in existing.model_validators.items()}) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

455 res.computed_fields.update({k: v.bind_to_cls(model_dc) for k, v in existing.computed_fields.items()}) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

456 

457 to_replace: list[tuple[str, Any]] = [] 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

458 

459 for var_name, var_value in vars(model_dc).items(): 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

460 if isinstance(var_value, PydanticDescriptorProxy): 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

461 info = var_value.decorator_info 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

462 if isinstance(info, ValidatorDecoratorInfo): 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

463 res.validators[var_name] = Decorator.build( 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

464 model_dc, cls_var_name=var_name, shim=var_value.shim, info=info 

465 ) 

466 elif isinstance(info, FieldValidatorDecoratorInfo): 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

467 res.field_validators[var_name] = Decorator.build( 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

468 model_dc, cls_var_name=var_name, shim=var_value.shim, info=info 

469 ) 

470 elif isinstance(info, RootValidatorDecoratorInfo): 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

471 res.root_validators[var_name] = Decorator.build( 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

472 model_dc, cls_var_name=var_name, shim=var_value.shim, info=info 

473 ) 

474 elif isinstance(info, FieldSerializerDecoratorInfo): 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

475 # check whether a serializer function is already registered for fields 

476 for field_serializer_decorator in res.field_serializers.values(): 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

477 # check that each field has at most one serializer function. 

478 # serializer functions for the same field in subclasses are allowed, 

479 # and are treated as overrides 

480 if field_serializer_decorator.cls_var_name == var_name: 1stabcdefABCDzyuvghijklEFGHwxmnopqrIJKL

481 continue 1stabcdefABCDzyuvghijklEFGHwxmnopqrIJKL

482 for f in info.fields: 1stabcdefABCDzyuvghijklEFGHwxmnopqrIJKL

483 if f in field_serializer_decorator.info.fields: 1stabcdefABCDzyuvghijklEFGHwxmnopqrIJKL

484 raise PydanticUserError( 1stabcdefABCDzyuvghijklEFGHwxmnopqrIJKL

485 'Multiple field serializer functions were defined ' 

486 f'for field {f!r}, this is not allowed.', 

487 code='multiple-field-serializers', 

488 ) 

489 res.field_serializers[var_name] = Decorator.build( 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

490 model_dc, cls_var_name=var_name, shim=var_value.shim, info=info 

491 ) 

492 elif isinstance(info, ModelValidatorDecoratorInfo): 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

493 res.model_validators[var_name] = Decorator.build( 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

494 model_dc, cls_var_name=var_name, shim=var_value.shim, info=info 

495 ) 

496 elif isinstance(info, ModelSerializerDecoratorInfo): 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

497 res.model_serializers[var_name] = Decorator.build( 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

498 model_dc, cls_var_name=var_name, shim=var_value.shim, info=info 

499 ) 

500 else: 

501 from ..fields import ComputedFieldInfo 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

502 

503 isinstance(var_value, ComputedFieldInfo) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

504 res.computed_fields[var_name] = Decorator.build( 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

505 model_dc, cls_var_name=var_name, shim=None, info=info 

506 ) 

507 to_replace.append((var_name, var_value.wrapped)) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

508 if to_replace: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

509 # If we can save `__pydantic_decorators__` on the class we'll be able to check for it above 

510 # so then we don't need to re-process the type, which means we can discard our descriptor wrappers 

511 # and replace them with the thing they are wrapping (see the other setattr call below) 

512 # which allows validator class methods to also function as regular class methods 

513 model_dc.__pydantic_decorators__ = res 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

514 for name, value in to_replace: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

515 setattr(model_dc, name, value) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

516 return res 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

517 

518 def update_from_config(self, config_wrapper: ConfigWrapper) -> None: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

519 """Update the decorator infos from the configuration of the class they are attached to.""" 

520 for name, computed_field_dec in self.computed_fields.items(): 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

521 computed_field_dec.info._update_from_config(config_wrapper, name) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

522 

523 

524def inspect_validator(validator: Callable[..., Any], mode: FieldValidatorModes) -> bool: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

525 """Look at a field or model validator function and determine whether it takes an info argument. 

526 

527 An error is raised if the function has an invalid signature. 

528 

529 Args: 

530 validator: The validator function to inspect. 

531 mode: The proposed validator mode. 

532 

533 Returns: 

534 Whether the validator takes an info argument. 

535 """ 

536 try: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

537 sig = signature(validator) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

538 except (ValueError, TypeError): 1stabcdefABCDuvghijklEFGHwxmnopqrIJKL

539 # `inspect.signature` might not be able to infer a signature, e.g. with C objects. 

540 # In this case, we assume no info argument is present: 

541 return False 1stabcdefABCDuvghijklEFGHwxmnopqrIJKL

542 n_positional = count_positional_required_params(sig) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

543 if mode == 'wrap': 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

544 if n_positional == 3: 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

545 return True 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

546 elif n_positional == 2: 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

547 return False 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

548 else: 

549 assert mode in {'before', 'after', 'plain'}, f"invalid mode: {mode!r}, expected 'before', 'after' or 'plain" 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

550 if n_positional == 2: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

551 return True 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

552 elif n_positional == 1: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

553 return False 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

554 

555 raise PydanticUserError( 1stabcdefABCDzyuvghijklEFGHwxmnopqrIJKL

556 f'Unrecognized field_validator function signature for {validator} with `mode={mode}`:{sig}', 

557 code='validator-signature', 

558 ) 

559 

560 

561def inspect_field_serializer(serializer: Callable[..., Any], mode: Literal['plain', 'wrap']) -> tuple[bool, bool]: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

562 """Look at a field serializer function and determine if it is a field serializer, 

563 and whether it takes an info argument. 

564 

565 An error is raised if the function has an invalid signature. 

566 

567 Args: 

568 serializer: The serializer function to inspect. 

569 mode: The serializer mode, either 'plain' or 'wrap'. 

570 

571 Returns: 

572 Tuple of (is_field_serializer, info_arg). 

573 """ 

574 try: 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

575 sig = signature(serializer) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

576 except (ValueError, TypeError): 

577 # `inspect.signature` might not be able to infer a signature, e.g. with C objects. 

578 # In this case, we assume no info argument is present and this is not a method: 

579 return (False, False) 

580 

581 first = next(iter(sig.parameters.values()), None) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

582 is_field_serializer = first is not None and first.name == 'self' 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

583 

584 n_positional = count_positional_required_params(sig) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

585 if is_field_serializer: 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

586 # -1 to correct for self parameter 

587 info_arg = _serializer_info_arg(mode, n_positional - 1) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

588 else: 

589 info_arg = _serializer_info_arg(mode, n_positional) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

590 

591 if info_arg is None: 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

592 raise PydanticUserError( 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

593 f'Unrecognized field_serializer function signature for {serializer} with `mode={mode}`:{sig}', 

594 code='field-serializer-signature', 

595 ) 

596 

597 return is_field_serializer, info_arg 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

598 

599 

600def inspect_annotated_serializer(serializer: Callable[..., Any], mode: Literal['plain', 'wrap']) -> bool: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

601 """Look at a serializer function used via `Annotated` and determine whether it takes an info argument. 

602 

603 An error is raised if the function has an invalid signature. 

604 

605 Args: 

606 serializer: The serializer function to check. 

607 mode: The serializer mode, either 'plain' or 'wrap'. 

608 

609 Returns: 

610 info_arg 

611 """ 

612 try: 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

613 sig = signature(serializer) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

614 except (ValueError, TypeError): 1stabcdefABCDuvghijklEFGHwxmnopqrIJKL

615 # `inspect.signature` might not be able to infer a signature, e.g. with C objects. 

616 # In this case, we assume no info argument is present: 

617 return False 1stabcdefABCDuvghijklEFGHwxmnopqrIJKL

618 info_arg = _serializer_info_arg(mode, count_positional_required_params(sig)) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

619 if info_arg is None: 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

620 raise PydanticUserError( 1stabcdefABCDzyuvghijklEFGHwxmnopqrIJKL

621 f'Unrecognized field_serializer function signature for {serializer} with `mode={mode}`:{sig}', 

622 code='field-serializer-signature', 

623 ) 

624 else: 

625 return info_arg 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

626 

627 

628def inspect_model_serializer(serializer: Callable[..., Any], mode: Literal['plain', 'wrap']) -> bool: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

629 """Look at a model serializer function and determine whether it takes an info argument. 

630 

631 An error is raised if the function has an invalid signature. 

632 

633 Args: 

634 serializer: The serializer function to check. 

635 mode: The serializer mode, either 'plain' or 'wrap'. 

636 

637 Returns: 

638 `info_arg` - whether the function expects an info argument. 

639 """ 

640 if isinstance(serializer, (staticmethod, classmethod)) or not is_instance_method_from_sig(serializer): 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

641 raise PydanticUserError( 1stabcdefABCDzyuvghijklEFGHwxmnopqrIJKL

642 '`@model_serializer` must be applied to instance methods', code='model-serializer-instance-method' 

643 ) 

644 

645 sig = signature(serializer) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

646 info_arg = _serializer_info_arg(mode, count_positional_required_params(sig)) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

647 if info_arg is None: 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

648 raise PydanticUserError( 1stabcdefABCDzyuvghijklEFGHwxmnopqrIJKL

649 f'Unrecognized model_serializer function signature for {serializer} with `mode={mode}`:{sig}', 

650 code='model-serializer-signature', 

651 ) 

652 else: 

653 return info_arg 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

654 

655 

656def _serializer_info_arg(mode: Literal['plain', 'wrap'], n_positional: int) -> bool | None: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

657 if mode == 'plain': 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

658 if n_positional == 1: 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

659 # (input_value: Any, /) -> Any 

660 return False 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

661 elif n_positional == 2: 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

662 # (model: Any, input_value: Any, /) -> Any 

663 return True 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

664 else: 

665 assert mode == 'wrap', f"invalid mode: {mode!r}, expected 'plain' or 'wrap'" 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

666 if n_positional == 2: 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

667 # (input_value: Any, serializer: SerializerFunctionWrapHandler, /) -> Any 

668 return False 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

669 elif n_positional == 3: 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

670 # (input_value: Any, serializer: SerializerFunctionWrapHandler, info: SerializationInfo, /) -> Any 

671 return True 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

672 

673 return None 1stabcdefABCDzyuvghijklEFGHwxmnopqrIJKL

674 

675 

676AnyDecoratorCallable: TypeAlias = ( 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

677 'Union[classmethod[Any, Any, Any], staticmethod[Any, Any], partialmethod[Any], Callable[..., Any]]' 

678) 

679 

680 

681def is_instance_method_from_sig(function: AnyDecoratorCallable) -> bool: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

682 """Whether the function is an instance method. 

683 

684 It will consider a function as instance method if the first parameter of 

685 function is `self`. 

686 

687 Args: 

688 function: The function to check. 

689 

690 Returns: 

691 `True` if the function is an instance method, `False` otherwise. 

692 """ 

693 sig = signature(unwrap_wrapped_function(function)) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

694 first = next(iter(sig.parameters.values()), None) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

695 if first and first.name == 'self': 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

696 return True 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

697 return False 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

698 

699 

700def ensure_classmethod_based_on_signature(function: AnyDecoratorCallable) -> Any: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

701 """Apply the `@classmethod` decorator on the function. 

702 

703 Args: 

704 function: The function to apply the decorator on. 

705 

706 Return: 

707 The `@classmethod` decorator applied function. 

708 """ 

709 if not isinstance( 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

710 unwrap_wrapped_function(function, unwrap_class_static_method=False), classmethod 

711 ) and _is_classmethod_from_sig(function): 

712 return classmethod(function) # type: ignore[arg-type] 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

713 return function 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

714 

715 

716def _is_classmethod_from_sig(function: AnyDecoratorCallable) -> bool: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

717 sig = signature(unwrap_wrapped_function(function)) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

718 first = next(iter(sig.parameters.values()), None) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

719 if first and first.name == 'cls': 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

720 return True 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

721 return False 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

722 

723 

724def unwrap_wrapped_function( 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

725 func: Any, 

726 *, 

727 unwrap_partial: bool = True, 

728 unwrap_class_static_method: bool = True, 

729) -> Any: 

730 """Recursively unwraps a wrapped function until the underlying function is reached. 

731 This handles property, functools.partial, functools.partialmethod, staticmethod, and classmethod. 

732 

733 Args: 

734 func: The function to unwrap. 

735 unwrap_partial: If True (default), unwrap partial and partialmethod decorators. 

736 unwrap_class_static_method: If True (default), also unwrap classmethod and staticmethod 

737 decorators. If False, only unwrap partial and partialmethod decorators. 

738 

739 Returns: 

740 The underlying function of the wrapped function. 

741 """ 

742 # Define the types we want to check against as a single tuple. 

743 unwrap_types = ( 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

744 (property, cached_property) 

745 + ((partial, partialmethod) if unwrap_partial else ()) 

746 + ((staticmethod, classmethod) if unwrap_class_static_method else ()) 

747 ) 

748 

749 while isinstance(func, unwrap_types): 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

750 if unwrap_class_static_method and isinstance(func, (classmethod, staticmethod)): 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

751 func = func.__func__ 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

752 elif isinstance(func, (partial, partialmethod)): 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

753 func = func.func 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

754 elif isinstance(func, property): 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

755 func = func.fget # arbitrary choice, convenient for computed fields 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

756 else: 

757 # Make coverage happy as it can only get here in the last possible case 

758 assert isinstance(func, cached_property) 1stabcdefABCDzyuvghijklEFGHwxmnopqrIJKL

759 func = func.func # type: ignore 1stabcdefABCDzyuvghijklEFGHwxmnopqrIJKL

760 

761 return func 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

762 

763 

764_function_like = ( 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

765 partial, 

766 partialmethod, 

767 types.FunctionType, 

768 types.BuiltinFunctionType, 

769 types.MethodType, 

770 types.WrapperDescriptorType, 

771 types.MethodWrapperType, 

772 types.MemberDescriptorType, 

773) 

774 

775 

776def get_callable_return_type( 1stabcdefABCDMuvghijklEFGHNPwxmnopqrIJKLO

777 callable_obj: Any, 

778 globalns: GlobalsNamespace | None = None, 

779 localns: MappingNamespace | None = None, 

780) -> Any | PydanticUndefinedType: 

781 """Get the callable return type. 

782 

783 Args: 

784 callable_obj: The callable to analyze. 

785 globalns: The globals namespace to use during type annotation evaluation. 

786 localns: The locals namespace to use during type annotation evaluation. 

787 

788 Returns: 

789 The function return type. 

790 """ 

791 if isinstance(callable_obj, type): 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

792 # types are callables, and we assume the return type 

793 # is the type itself (e.g. `int()` results in an instance of `int`). 

794 return callable_obj 1stabcdefABCDzyuvghijklEFGHwxmnopqrIJKL

795 

796 if not isinstance(callable_obj, _function_like): 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

797 call_func = getattr(type(callable_obj), '__call__', None) # noqa: B004 1stabcdefABCDzyuvghijklEFGHwxmnopqrIJKL

798 if call_func is not None: 798 ↛ 801line 798 didn't jump to line 801 because the condition on line 798 was always true1stabcdefABCDzyuvghijklEFGHwxmnopqrIJKL

799 callable_obj = call_func 1stabcdefABCDzyuvghijklEFGHwxmnopqrIJKL

800 

801 hints = get_function_type_hints( 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

802 unwrap_wrapped_function(callable_obj), 

803 include_keys={'return'}, 

804 globalns=globalns, 

805 localns=localns, 

806 ) 

807 return hints.get('return', PydanticUndefined) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

808 

809 

810def count_positional_required_params(sig: Signature) -> int: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

811 """Get the number of positional (required) arguments of a signature. 

812 

813 This function should only be used to inspect signatures of validation and serialization functions. 

814 The first argument (the value being serialized or validated) is counted as a required argument 

815 even if a default value exists. 

816 

817 Returns: 

818 The number of positional arguments of a signature. 

819 """ 

820 parameters = list(sig.parameters.values()) 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

821 return sum( 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

822 1 

823 for param in parameters 

824 if can_be_positional(param) 

825 # First argument is the value being validated/serialized, and can have a default value 

826 # (e.g. `float`, which has signature `(x=0, /)`). We assume other parameters (the info arg 

827 # for instance) should be required, and thus without any default value. 

828 and (param.default is Parameter.empty or param is parameters[0]) 

829 ) 

830 

831 

832def ensure_property(f: Any) -> Any: 1stabcdefABCDMzyuvghijklEFGHNPwxmnopqrIJKLO

833 """Ensure that a function is a `property` or `cached_property`, or is a valid descriptor. 

834 

835 Args: 

836 f: The function to check. 

837 

838 Returns: 

839 The function, or a `property` or `cached_property` instance wrapping the function. 

840 """ 

841 if ismethoddescriptor(f) or isdatadescriptor(f): 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

842 return f 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO

843 else: 

844 return property(f) 1stabcdefABCDMzyuvghijklEFGHNwxmnopqrIJKLO