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 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

4 

5import types 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

6from collections import deque 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

7from collections.abc import Iterable 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

8from dataclasses import dataclass, field 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

9from functools import cached_property, partial, partialmethod 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

11from itertools import islice 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

13 

14from pydantic_core import PydanticUndefined, PydanticUndefinedType, core_schema 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

15from typing_extensions import TypeAlias, is_typeddict 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

16 

17from ..errors import PydanticUserError 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

18from ._core_utils import get_type_ref 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

19from ._internal_dataclass import slots_true 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

20from ._namespace_utils import GlobalsNamespace, MappingNamespace 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

21from ._typing_extra import get_function_type_hints 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

22from ._utils import can_be_positional 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

23 

24if TYPE_CHECKING: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

25 from ..fields import ComputedFieldInfo 

26 from ..functional_validators import FieldValidatorModes 

27 from ._config import ConfigWrapper 

28 

29 

30@dataclass(**slots_true) 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

31class ValidatorDecoratorInfo: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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' 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

46 

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

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

49 each_item: bool 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

50 always: bool 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

51 check_fields: bool | None 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

52 

53 

54@dataclass(**slots_true) 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

55class FieldValidatorDecoratorInfo: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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' 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

70 

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

72 mode: FieldValidatorModes 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

73 check_fields: bool | None 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

74 json_schema_input_type: Any 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

75 

76 

77@dataclass(**slots_true) 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

78class RootValidatorDecoratorInfo: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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' 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

89 

90 

91@dataclass(**slots_true) 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

92class FieldSerializerDecoratorInfo: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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' 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

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

109 return_type: Any 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

110 when_used: core_schema.WhenUsed 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

111 check_fields: bool | None 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

112 

113 

114@dataclass(**slots_true) 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

115class ModelSerializerDecoratorInfo: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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' 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

129 return_type: Any 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

130 when_used: core_schema.WhenUsed 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

131 

132 

133@dataclass(**slots_true) 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

134class ModelValidatorDecoratorInfo: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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' 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

145 

146 

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

148 ValidatorDecoratorInfo, 

149 FieldValidatorDecoratorInfo, 

150 RootValidatorDecoratorInfo, 

151 FieldSerializerDecoratorInfo, 

152 ModelSerializerDecoratorInfo, 

153 ModelValidatorDecoratorInfo, 

154 ComputedFieldInfo, 

155]""" 

156 

157ReturnType = TypeVar('ReturnType') 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

158DecoratedType: TypeAlias = ( 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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__` 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

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] 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

179 decorator_info: DecoratorInfo 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

181 

182 def __post_init__(self): 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

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

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

186 setattr(self, attr, f) 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

187 

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

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

190 if isinstance(self.wrapped, property): 190 ↛ 196line 190 didn't jump to line 196 because the condition on line 190 was always true1stabcdefABCzyuvghijklDEFwxmnopqrGHI

191 # update ComputedFieldInfo.wrapped_property 

192 from ..fields import ComputedFieldInfo 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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 true1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

196 return self 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

197 

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

199 try: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

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: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

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

208 

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

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

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

212 

213 

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

215 

216 

217@dataclass(**slots_true) 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

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 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

233 cls_var_name: str 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

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

236 info: DecoratorInfoType 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

237 

238 @staticmethod 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

239 def build( 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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) 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

258 if shim is not None: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

259 func = shim(func) 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

261 if not callable(func): 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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( 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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]: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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( 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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], ...]: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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): 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

301 return tp.__orig_bases__ # type: ignore 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

302 try: 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

303 return tp.__bases__ 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

304 except AttributeError: 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

305 return () 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

306 

307 

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

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): 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

316 try: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

317 return tp.__mro__ 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

318 except AttributeError: 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

319 # GenericAlias and some other cases 

320 pass 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

321 

322 bases = get_bases(tp) 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

324 

325 

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

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

328 while True: 1abcdefABCyghijklDEFJmnopqrGHI

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

330 if not non_empty: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

332 return 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

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 complete1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

335 candidate = seq[0] 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

337 if not_head: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

338 # Reject the candidate. 

339 candidate = None 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

340 else: 

341 break 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

342 if not candidate: 342 ↛ 343line 342 didn't jump to line 343 because the condition on line 342 was never true1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

344 yield candidate 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

345 for seq in non_empty: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

346 # Remove candidate. 

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

348 seq.popleft() 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

349 

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

351 return tuple(merge_seqs(seqs)) 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

352 

353 

354_sentinel = object() 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

355 

356 

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

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): 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

377 for base in mro_for_bases(tp): 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

379 if attribute is not _sentinel: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

381 if attribute_get is not None: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

382 return attribute_get(None, tp) 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

383 return attribute 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

385 else: 

386 try: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

387 return getattr(tp, name) 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

388 except AttributeError: 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

390 

391 

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

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) 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

414class DecoratorInfos: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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) 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

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

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

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

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

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

428 

429 @staticmethod 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

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() 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

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

447 if existing is None: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

448 existing = DecoratorInfos.build(base) 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

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

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

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

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

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

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

456 

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

458 

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

460 if isinstance(var_value, PydanticDescriptorProxy): 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

461 info = var_value.decorator_info 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

462 if isinstance(info, ValidatorDecoratorInfo): 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

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

465 ) 

466 elif isinstance(info, FieldValidatorDecoratorInfo): 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

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

469 ) 

470 elif isinstance(info, RootValidatorDecoratorInfo): 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

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

473 ) 

474 elif isinstance(info, FieldSerializerDecoratorInfo): 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

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

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: 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

481 continue 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

482 for f in info.fields: 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

484 raise PydanticUserError( 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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( 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

491 ) 

492 elif isinstance(info, ModelValidatorDecoratorInfo): 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

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

495 ) 

496 elif isinstance(info, ModelSerializerDecoratorInfo): 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

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

499 ) 

500 else: 

501 from ..fields import ComputedFieldInfo 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

502 

503 isinstance(var_value, ComputedFieldInfo) 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

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

506 ) 

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

508 if to_replace: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

514 for name, value in to_replace: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

515 setattr(model_dc, name, value) 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

516 return res 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

517 

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

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(): 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

522 

523 

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

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: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

537 sig = signature(validator) 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

538 except (ValueError, TypeError): 1stabcdefABCuvghijklDEFwxmnopqrGHI

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 1stabcdefABCuvghijklDEFwxmnopqrGHI

542 n_positional = count_positional_required_params(sig) 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

543 if mode == 'wrap': 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

544 if n_positional == 3: 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

545 return True 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

546 elif n_positional == 2: 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

547 return False 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

548 else: 

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

550 if n_positional == 2: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

551 return True 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

552 elif n_positional == 1: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

553 return False 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

554 

555 raise PydanticUserError( 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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]: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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: 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

575 sig = signature(serializer) 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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) 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

583 

584 n_positional = count_positional_required_params(sig) 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

585 if is_field_serializer: 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

586 # -1 to correct for self parameter 

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

588 else: 

589 info_arg = _serializer_info_arg(mode, n_positional) 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

590 

591 if info_arg is None: 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

592 raise PydanticUserError( 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

598 

599 

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

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: 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

613 sig = signature(serializer) 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

614 except (ValueError, TypeError): 1stabcdefABCuvghijklDEFwxmnopqrGHI

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 1stabcdefABCuvghijklDEFwxmnopqrGHI

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

619 if info_arg is None: 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

620 raise PydanticUserError( 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

626 

627 

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

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): 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

641 raise PydanticUserError( 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

643 ) 

644 

645 sig = signature(serializer) 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

647 if info_arg is None: 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

648 raise PydanticUserError( 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

654 

655 

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

657 if mode == 'plain': 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

658 if n_positional == 1: 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

659 # (input_value: Any, /) -> Any 

660 return False 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

661 elif n_positional == 2: 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

663 return True 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

664 else: 

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

666 if n_positional == 2: 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

668 return False 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

669 elif n_positional == 3: 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

671 return True 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

672 

673 return None 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

674 

675 

676AnyDecoratorCallable: TypeAlias = ( 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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)) 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

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

696 return True 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

697 return False 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

698 

699 

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

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( 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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] 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

713 return function 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

714 

715 

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

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

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

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

720 return True 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

721 return False 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

722 

723 

724def unwrap_wrapped_function( 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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 = ( 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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): 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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

751 func = func.__func__ 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

753 func = func.func 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

754 elif isinstance(func, property): 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

756 else: 

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

758 assert isinstance(func, cached_property) 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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

760 

761 return func 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

762 

763 

764_function_like = ( 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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( 1stabcdefABCuvghijklDEFJwxmnopqrGHI

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): 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

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 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

795 

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

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

798 if call_func is not None: 798 ↛ 801line 798 didn't jump to line 801 because the condition on line 798 was always true1stabcdefABCzyuvghijklDEFwxmnopqrGHI

799 callable_obj = call_func 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

800 

801 hints = get_function_type_hints( 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

802 unwrap_wrapped_function(callable_obj), 

803 include_keys={'return'}, 

804 globalns=globalns, 

805 localns=localns, 

806 ) 

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

808 

809 

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

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()) 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

821 return sum( 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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: 1stabcdefABCzyuvghijklDEFJwxmnopqrGHI

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): 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

842 return f 1stabcdefABCzyuvghijklDEFwxmnopqrGHI

843 else: 

844 return property(f) 1stabcdefABCzyuvghijklDEFwxmnopqrGHI