Coverage for pydantic/experimental/pipeline.py: 93.41%

1"""Experimental pipeline API functionality. Be careful with this API, it's subject to change.""" 

2 

3from __future__ import annotations 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

4 

5import datetime 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

6import operator 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

7import re 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

8import sys 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

9from collections import deque 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

10from collections.abc import Container 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

11from dataclasses import dataclass 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

12from decimal import Decimal 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

13from functools import cached_property, partial 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

14from typing import TYPE_CHECKING, Any, Callable, Generic, Pattern, Protocol, TypeVar, Union, overload 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

15 

16import annotated_types 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

17from typing_extensions import Annotated 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

18 

19if TYPE_CHECKING: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

20 from pydantic_core import core_schema as cs 

21 

22 from pydantic import GetCoreSchemaHandler 

23 

24from pydantic._internal._internal_dataclass import slots_true as _slots_true 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

25 

26if sys.version_info < (3, 10): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

27 EllipsisType = type(Ellipsis) 13 ctx1oqircstuvpwjx

28else: 

29 from types import EllipsisType 19 ctx1kylzaedABCDfgmEnFbh

30 

31__all__ = ['validate_as', 'validate_as_deferred', 'transform'] 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

32 

33_slots_frozen = {**_slots_true, 'frozen': True} 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

34 

35 

36@dataclass(**_slots_frozen) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

37class _ValidateAs: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

38 tp: type[Any] 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

39 strict: bool = False 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

40 

41 

42@dataclass 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

43class _ValidateAsDefer: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

44 func: Callable[[], type[Any]] 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

45 

46 @cached_property 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

47 def tp(self) -> type[Any]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

48 return self.func() 8 ctx1iklajmnb

49 

50 

51@dataclass(**_slots_frozen) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

52class _Transform: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

53 func: Callable[[Any], Any] 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

54 

55 

56@dataclass(**_slots_frozen) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

57class _PipelineOr: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

58 left: _Pipeline[Any, Any] 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

59 right: _Pipeline[Any, Any] 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

60 

61 

62@dataclass(**_slots_frozen) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

63class _PipelineAnd: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

64 left: _Pipeline[Any, Any] 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

65 right: _Pipeline[Any, Any] 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

66 

67 

68@dataclass(**_slots_frozen) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

69class _Eq: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

70 value: Any 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

71 

72 

73@dataclass(**_slots_frozen) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

74class _NotEq: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

75 value: Any 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

76 

77 

78@dataclass(**_slots_frozen) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

79class _In: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

80 values: Container[Any] 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

81 

82 

83@dataclass(**_slots_frozen) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

84class _NotIn: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

85 values: Container[Any] 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

86 

87 

88_ConstraintAnnotation = Union[ 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

89 annotated_types.Le, 

90 annotated_types.Ge, 

91 annotated_types.Lt, 

92 annotated_types.Gt, 

93 annotated_types.Len, 

94 annotated_types.MultipleOf, 

95 annotated_types.Timezone, 

96 annotated_types.Interval, 

97 annotated_types.Predicate, 

98 # common predicates not included in annotated_types 

99 _Eq, 

100 _NotEq, 

101 _In, 

102 _NotIn, 

103 # regular expressions 

104 Pattern[str], 

105] 

106 

107 

108@dataclass(**_slots_frozen) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

109class _Constraint: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

110 constraint: _ConstraintAnnotation 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

111 

112 

113_Step = Union[_ValidateAs, _ValidateAsDefer, _Transform, _PipelineOr, _PipelineAnd, _Constraint] 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

114 

115_InT = TypeVar('_InT') 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

116_OutT = TypeVar('_OutT') 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

117_NewOutT = TypeVar('_NewOutT') 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

118 

119 

120class _FieldTypeMarker: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

121 pass 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

122 

123 

124# TODO: ultimately, make this public, see https://github.com/pydantic/pydantic/pull/9459#discussion_r1628197626 

125# Also, make this frozen eventually, but that doesn't work right now because of the generic base 

126# Which attempts to modify __orig_base__ and such. 

127# We could go with a manual freeze, but that seems overkill for now. 

128@dataclass(**_slots_true) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

129class _Pipeline(Generic[_InT, _OutT]): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

130 """Abstract representation of a chain of validation, transformation, and parsing steps.""" 

131 

132 _steps: tuple[_Step, ...] 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

133 

134 def transform( 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

135 self, 

136 func: Callable[[_OutT], _NewOutT], 

137 ) -> _Pipeline[_InT, _NewOutT]: 

138 """Transform the output of the previous step. 

139 

140 If used as the first step in a pipeline, the type of the field is used. 

141 That is, the transformation is applied to after the value is parsed to the field's type. 

142 """ 

143 return _Pipeline[_InT, _NewOutT](self._steps + (_Transform(func),)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

144 

145 @overload 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

146 def validate_as(self, tp: type[_NewOutT], *, strict: bool = ...) -> _Pipeline[_InT, _NewOutT]: ... 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

147 

148 @overload 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

149 def validate_as(self, tp: EllipsisType, *, strict: bool = ...) -> _Pipeline[_InT, Any]: # type: ignore 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

150 ... 

151 

152 def validate_as(self, tp: type[_NewOutT] | EllipsisType, *, strict: bool = False) -> _Pipeline[_InT, Any]: # type: ignore 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

153 """Validate / parse the input into a new type. 

154 

155 If no type is provided, the type of the field is used. 

156 

157 Types are parsed in Pydantic's `lax` mode by default, 

158 but you can enable `strict` mode by passing `strict=True`. 

159 """ 

160 if isinstance(tp, EllipsisType): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

161 return _Pipeline[_InT, Any](self._steps + (_ValidateAs(_FieldTypeMarker, strict=strict),)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

162 return _Pipeline[_InT, _NewOutT](self._steps + (_ValidateAs(tp, strict=strict),)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

163 

164 def validate_as_deferred(self, func: Callable[[], type[_NewOutT]]) -> _Pipeline[_InT, _NewOutT]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

165 """Parse the input into a new type, deferring resolution of the type until the current class 

166 is fully defined. 

167 

168 This is useful when you need to reference the class in it's own type annotations. 

169 """ 

170 return _Pipeline[_InT, _NewOutT](self._steps + (_ValidateAsDefer(func),)) 8 ctx1iklajmnb

171 

172 # constraints 

173 @overload 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

174 def constrain(self: _Pipeline[_InT, _NewOutGe], constraint: annotated_types.Ge) -> _Pipeline[_InT, _NewOutGe]: ... 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

175 

176 @overload 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

177 def constrain(self: _Pipeline[_InT, _NewOutGt], constraint: annotated_types.Gt) -> _Pipeline[_InT, _NewOutGt]: ... 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

178 

179 @overload 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

180 def constrain(self: _Pipeline[_InT, _NewOutLe], constraint: annotated_types.Le) -> _Pipeline[_InT, _NewOutLe]: ... 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

181 

182 @overload 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

183 def constrain(self: _Pipeline[_InT, _NewOutLt], constraint: annotated_types.Lt) -> _Pipeline[_InT, _NewOutLt]: ... 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

184 

185 @overload 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

186 def constrain( 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

187 self: _Pipeline[_InT, _NewOutLen], constraint: annotated_types.Len 8 ctx1aecdfgbh

188 ) -> _Pipeline[_InT, _NewOutLen]: ... 8 ctx1aecdfgbh

189 

190 @overload 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

191 def constrain( 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

192 self: _Pipeline[_InT, _NewOutT], constraint: annotated_types.MultipleOf 8 ctx1aecdfgbh

193 ) -> _Pipeline[_InT, _NewOutT]: ... 8 ctx1aecdfgbh

194 

195 @overload 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

196 def constrain( 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

197 self: _Pipeline[_InT, _NewOutDatetime], constraint: annotated_types.Timezone 8 ctx1aecdfgbh

198 ) -> _Pipeline[_InT, _NewOutDatetime]: ... 8 ctx1aecdfgbh

199 

200 @overload 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

201 def constrain(self: _Pipeline[_InT, _OutT], constraint: annotated_types.Predicate) -> _Pipeline[_InT, _OutT]: ... 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

202 

203 @overload 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

204 def constrain( 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

205 self: _Pipeline[_InT, _NewOutInterval], constraint: annotated_types.Interval 8 ctx1aecdfgbh

206 ) -> _Pipeline[_InT, _NewOutInterval]: ... 8 ctx1aecdfgbh

207 

208 @overload 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

209 def constrain(self: _Pipeline[_InT, _OutT], constraint: _Eq) -> _Pipeline[_InT, _OutT]: ... 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

210 

211 @overload 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

212 def constrain(self: _Pipeline[_InT, _OutT], constraint: _NotEq) -> _Pipeline[_InT, _OutT]: ... 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

213 

214 @overload 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

215 def constrain(self: _Pipeline[_InT, _OutT], constraint: _In) -> _Pipeline[_InT, _OutT]: ... 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

216 

217 @overload 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

218 def constrain(self: _Pipeline[_InT, _OutT], constraint: _NotIn) -> _Pipeline[_InT, _OutT]: ... 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

219 

220 @overload 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

221 def constrain(self: _Pipeline[_InT, _NewOutT], constraint: Pattern[str]) -> _Pipeline[_InT, _NewOutT]: ... 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

222 

223 def constrain(self, constraint: _ConstraintAnnotation) -> Any: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

224 """Constrain a value to meet a certain condition. 

225 

226 We support most conditions from `annotated_types`, as well as regular expressions. 

227 

228 Most of the time you'll be calling a shortcut method like `gt`, `lt`, `len`, etc 

229 so you don't need to call this directly. 

230 """ 

231 return _Pipeline[_InT, _OutT](self._steps + (_Constraint(constraint),)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

232 

233 def predicate(self: _Pipeline[_InT, _NewOutT], func: Callable[[_NewOutT], bool]) -> _Pipeline[_InT, _NewOutT]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

234 """Constrain a value to meet a certain predicate.""" 

235 return self.constrain(annotated_types.Predicate(func)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

236 

237 def gt(self: _Pipeline[_InT, _NewOutGt], gt: _NewOutGt) -> _Pipeline[_InT, _NewOutGt]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

238 """Constrain a value to be greater than a certain value.""" 

239 return self.constrain(annotated_types.Gt(gt)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

240 

241 def lt(self: _Pipeline[_InT, _NewOutLt], lt: _NewOutLt) -> _Pipeline[_InT, _NewOutLt]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

242 """Constrain a value to be less than a certain value.""" 

243 return self.constrain(annotated_types.Lt(lt)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

244 

245 def ge(self: _Pipeline[_InT, _NewOutGe], ge: _NewOutGe) -> _Pipeline[_InT, _NewOutGe]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

246 """Constrain a value to be greater than or equal to a certain value.""" 

247 return self.constrain(annotated_types.Ge(ge)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

248 

249 def le(self: _Pipeline[_InT, _NewOutLe], le: _NewOutLe) -> _Pipeline[_InT, _NewOutLe]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

250 """Constrain a value to be less than or equal to a certain value.""" 

251 return self.constrain(annotated_types.Le(le)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

252 

253 def len(self: _Pipeline[_InT, _NewOutLen], min_len: int, max_len: int | None = None) -> _Pipeline[_InT, _NewOutLen]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

254 """Constrain a value to have a certain length.""" 

255 return self.constrain(annotated_types.Len(min_len, max_len)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

256 

257 @overload 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

258 def multiple_of(self: _Pipeline[_InT, _NewOutDiv], multiple_of: _NewOutDiv) -> _Pipeline[_InT, _NewOutDiv]: ... 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

259 

260 @overload 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

261 def multiple_of(self: _Pipeline[_InT, _NewOutMod], multiple_of: _NewOutMod) -> _Pipeline[_InT, _NewOutMod]: ... 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

262 

263 def multiple_of(self: _Pipeline[_InT, Any], multiple_of: Any) -> _Pipeline[_InT, Any]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

264 """Constrain a value to be a multiple of a certain number.""" 

265 return self.constrain(annotated_types.MultipleOf(multiple_of)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

266 

267 def eq(self: _Pipeline[_InT, _OutT], value: _OutT) -> _Pipeline[_InT, _OutT]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

268 """Constrain a value to be equal to a certain value.""" 

269 return self.constrain(_Eq(value)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

270 

271 def not_eq(self: _Pipeline[_InT, _OutT], value: _OutT) -> _Pipeline[_InT, _OutT]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

272 """Constrain a value to not be equal to a certain value.""" 

273 return self.constrain(_NotEq(value)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

274 

275 def in_(self: _Pipeline[_InT, _OutT], values: Container[_OutT]) -> _Pipeline[_InT, _OutT]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

276 """Constrain a value to be in a certain set.""" 

277 return self.constrain(_In(values)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

278 

279 def not_in(self: _Pipeline[_InT, _OutT], values: Container[_OutT]) -> _Pipeline[_InT, _OutT]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

280 """Constrain a value to not be in a certain set.""" 

281 return self.constrain(_NotIn(values)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

282 

283 # timezone methods 

284 def datetime_tz_naive(self: _Pipeline[_InT, datetime.datetime]) -> _Pipeline[_InT, datetime.datetime]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

285 return self.constrain(annotated_types.Timezone(None)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

286 

287 def datetime_tz_aware(self: _Pipeline[_InT, datetime.datetime]) -> _Pipeline[_InT, datetime.datetime]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

288 return self.constrain(annotated_types.Timezone(...)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

289 

290 def datetime_tz( 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

291 self: _Pipeline[_InT, datetime.datetime], tz: datetime.tzinfo 

292 ) -> _Pipeline[_InT, datetime.datetime]: 

293 return self.constrain(annotated_types.Timezone(tz)) # type: ignore 

294 

295 def datetime_with_tz( 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

296 self: _Pipeline[_InT, datetime.datetime], tz: datetime.tzinfo | None 

297 ) -> _Pipeline[_InT, datetime.datetime]: 

298 return self.transform(partial(datetime.datetime.replace, tzinfo=tz)) 

299 

300 # string methods 

301 def str_lower(self: _Pipeline[_InT, str]) -> _Pipeline[_InT, str]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

302 return self.transform(str.lower) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

303 

304 def str_upper(self: _Pipeline[_InT, str]) -> _Pipeline[_InT, str]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

305 return self.transform(str.upper) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

306 

307 def str_title(self: _Pipeline[_InT, str]) -> _Pipeline[_InT, str]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

308 return self.transform(str.title) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

309 

310 def str_strip(self: _Pipeline[_InT, str]) -> _Pipeline[_InT, str]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

311 return self.transform(str.strip) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

312 

313 def str_pattern(self: _Pipeline[_InT, str], pattern: str) -> _Pipeline[_InT, str]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

314 return self.constrain(re.compile(pattern)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

315 

316 def str_contains(self: _Pipeline[_InT, str], substring: str) -> _Pipeline[_InT, str]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

317 return self.predicate(lambda v: substring in v) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

318 

319 def str_starts_with(self: _Pipeline[_InT, str], prefix: str) -> _Pipeline[_InT, str]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

320 return self.predicate(lambda v: v.startswith(prefix)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

321 

322 def str_ends_with(self: _Pipeline[_InT, str], suffix: str) -> _Pipeline[_InT, str]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

323 return self.predicate(lambda v: v.endswith(suffix)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

324 

325 # operators 

326 def otherwise(self, other: _Pipeline[_OtherIn, _OtherOut]) -> _Pipeline[_InT | _OtherIn, _OutT | _OtherOut]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

327 """Combine two validation chains, returning the result of the first chain if it succeeds, and the second chain if it fails.""" 

328 return _Pipeline((_PipelineOr(self, other),)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

329 

330 __or__ = otherwise 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

331 

332 def then(self, other: _Pipeline[_OutT, _OtherOut]) -> _Pipeline[_InT, _OtherOut]: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

333 """Pipe the result of one validation chain into another.""" 

334 return _Pipeline((_PipelineAnd(self, other),)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

335 

336 __and__ = then 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

337 

338 def __get_pydantic_core_schema__(self, source_type: Any, handler: GetCoreSchemaHandler) -> cs.CoreSchema: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

339 from pydantic_core import core_schema as cs 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

340 

341 queue = deque(self._steps) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

342 

343 s = None 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

344 

345 while queue: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

346 step = queue.popleft() 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

347 s = _apply_step(step, s, handler, source_type) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

348 

349 s = s or cs.any_schema() 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

350 return s 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

351 

352 def __supports_type__(self, _: _OutT) -> bool: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

353 raise NotImplementedError 

354 

355 

356validate_as = _Pipeline[Any, Any](()).validate_as 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

357validate_as_deferred = _Pipeline[Any, Any](()).validate_as_deferred 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

358transform = _Pipeline[Any, Any]((_ValidateAs(_FieldTypeMarker),)).transform 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

359 

360 

361def _check_func( 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

362 func: Callable[[Any], bool], predicate_err: str | Callable[[], str], s: cs.CoreSchema | None 

363) -> cs.CoreSchema: 

364 from pydantic_core import core_schema as cs 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

365 

366 def handler(v: Any) -> Any: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

367 if func(v): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

368 return v 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

369 raise ValueError(f'Expected {predicate_err if isinstance(predicate_err, str) else predicate_err()}') 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

370 

371 if s is None: 371 ↛ 372line 371 didn't jump to line 372, because the condition on line 371 was never true32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

372 return cs.no_info_plain_validator_function(handler) 

373 else: 

374 return cs.no_info_after_validator_function(handler, s) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

375 

376 

377def _apply_step(step: _Step, s: cs.CoreSchema | None, handler: GetCoreSchemaHandler, source_type: Any) -> cs.CoreSchema: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

378 from pydantic_core import core_schema as cs 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

379 

380 if isinstance(step, _ValidateAs): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

381 s = _apply_parse(s, step.tp, step.strict, handler, source_type) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

382 elif isinstance(step, _ValidateAsDefer): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

383 s = _apply_parse(s, step.tp, False, handler, source_type) 8 ctx1iklajmnb

384 elif isinstance(step, _Transform): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

385 s = _apply_transform(s, step.func, handler) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

386 elif isinstance(step, _Constraint): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

387 s = _apply_constraint(s, step.constraint) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

388 elif isinstance(step, _PipelineOr): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

389 s = cs.union_schema([handler(step.left), handler(step.right)]) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

390 else: 

391 assert isinstance(step, _PipelineAnd) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

392 s = cs.chain_schema([handler(step.left), handler(step.right)]) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

393 return s 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

394 

395 

396def _apply_parse( 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

397 s: cs.CoreSchema | None, 

398 tp: type[Any], 

399 strict: bool, 

400 handler: GetCoreSchemaHandler, 

401 source_type: Any, 

402) -> cs.CoreSchema: 

403 from pydantic_core import core_schema as cs 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

404 

405 from pydantic import Strict 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

406 

407 if tp is _FieldTypeMarker: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

408 return handler(source_type) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

409 

410 if strict: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

411 tp = Annotated[tp, Strict()] # type: ignore 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

412 

413 if s and s['type'] == 'any': 413 ↛ 414line 413 didn't jump to line 414, because the condition on line 413 was never true32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

414 return handler(tp) 

415 else: 

416 return cs.chain_schema([s, handler(tp)]) if s else handler(tp) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

417 

418 

419def _apply_transform( 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

420 s: cs.CoreSchema | None, func: Callable[[Any], Any], handler: GetCoreSchemaHandler 

421) -> cs.CoreSchema: 

422 from pydantic_core import core_schema as cs 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

423 

424 if s is None: 424 ↛ 425line 424 didn't jump to line 425, because the condition on line 424 was never true32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

425 return cs.no_info_plain_validator_function(func) 

426 

427 if s['type'] == 'str': 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

428 if func is str.strip: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

429 s = s.copy() 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

430 s['strip_whitespace'] = True 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

431 return s 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

432 elif func is str.lower: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

433 s = s.copy() 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

434 s['to_lower'] = True 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

435 return s 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

436 elif func is str.upper: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

437 s = s.copy() 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

438 s['to_upper'] = True 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

439 return s 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

440 

441 return cs.no_info_after_validator_function(func, s) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

442 

443 

444def _apply_constraint( # noqa: C901 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

445 s: cs.CoreSchema | None, constraint: _ConstraintAnnotation 

446) -> cs.CoreSchema: 

447 """Apply a single constraint to a schema.""" 

448 if isinstance(constraint, annotated_types.Gt): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

449 gt = constraint.gt 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

450 if s and s['type'] in {'int', 'float', 'decimal'}: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

451 s = s.copy() 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

452 if s['type'] == 'int' and isinstance(gt, int): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

453 s['gt'] = gt 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

454 elif s['type'] == 'float' and isinstance(gt, float): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

455 s['gt'] = gt 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

456 elif s['type'] == 'decimal' and isinstance(gt, Decimal): 456 ↛ 648line 456 didn't jump to line 648, because the condition on line 456 was always true32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

457 s['gt'] = gt 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

458 else: 

459 

460 def check_gt(v: Any) -> bool: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

461 return v > gt 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

462 

463 s = _check_func(check_gt, f'> {gt}', s) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

464 elif isinstance(constraint, annotated_types.Ge): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

465 ge = constraint.ge 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

466 if s and s['type'] in {'int', 'float', 'decimal'}: 466 ↛ 475line 466 didn't jump to line 475, because the condition on line 466 was always true32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

467 s = s.copy() 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

468 if s['type'] == 'int' and isinstance(ge, int): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

469 s['ge'] = ge 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

470 elif s['type'] == 'float' and isinstance(ge, float): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

471 s['ge'] = ge 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

472 elif s['type'] == 'decimal' and isinstance(ge, Decimal): 472 ↛ 475line 472 didn't jump to line 475, because the condition on line 472 was always true32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

473 s['ge'] = ge 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

474 

475 def check_ge(v: Any) -> bool: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

476 return v >= ge 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

477 

478 s = _check_func(check_ge, f'>= {ge}', s) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

479 elif isinstance(constraint, annotated_types.Lt): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

480 lt = constraint.lt 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

481 if s and s['type'] in {'int', 'float', 'decimal'}: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

482 s = s.copy() 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

483 if s['type'] == 'int' and isinstance(lt, int): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

484 s['lt'] = lt 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

485 elif s['type'] == 'float' and isinstance(lt, float): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

486 s['lt'] = lt 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

487 elif s['type'] == 'decimal' and isinstance(lt, Decimal): 487 ↛ 490line 487 didn't jump to line 490, because the condition on line 487 was always true32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

488 s['lt'] = lt 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

489 

490 def check_lt(v: Any) -> bool: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

491 return v < lt 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

492 

493 s = _check_func(check_lt, f'< {lt}', s) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

494 elif isinstance(constraint, annotated_types.Le): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

495 le = constraint.le 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

496 if s and s['type'] in {'int', 'float', 'decimal'}: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

497 s = s.copy() 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

498 if s['type'] == 'int' and isinstance(le, int): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

499 s['le'] = le 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

500 elif s['type'] == 'float' and isinstance(le, float): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

501 s['le'] = le 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

502 elif s['type'] == 'decimal' and isinstance(le, Decimal): 502 ↛ 505line 502 didn't jump to line 505, because the condition on line 502 was always true32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

503 s['le'] = le 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

504 

505 def check_le(v: Any) -> bool: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

506 return v <= le 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

507 

508 s = _check_func(check_le, f'<= {le}', s) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

509 elif isinstance(constraint, annotated_types.Len): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

510 min_len = constraint.min_length 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

511 max_len = constraint.max_length 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

512 

513 if s and s['type'] in {'str', 'list', 'tuple', 'set', 'frozenset', 'dict'}: 513 ↛ 528line 513 didn't jump to line 528, because the condition on line 513 was always true32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

514 assert ( 14 ctx1oqircdstuvpwjx

515 s['type'] == 'str' 

516 or s['type'] == 'list' 

517 or s['type'] == 'tuple' 

518 or s['type'] == 'set' 

519 or s['type'] == 'dict' 

520 or s['type'] == 'frozenset' 

521 ) 

522 s = s.copy() 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

523 if min_len != 0: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

524 s['min_length'] = min_len 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

525 if max_len is not None: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

526 s['max_length'] = max_len 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

527 

528 def check_len(v: Any) -> bool: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

529 if max_len is not None: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

530 return (min_len <= len(v)) and (len(v) <= max_len) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

531 return min_len <= len(v) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

532 

533 s = _check_func(check_len, f'length >= {min_len} and length <= {max_len}', s) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

534 elif isinstance(constraint, annotated_types.MultipleOf): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

535 multiple_of = constraint.multiple_of 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

536 if s and s['type'] in {'int', 'float', 'decimal'}: 536 ↛ 545line 536 didn't jump to line 545, because the condition on line 536 was always true32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

537 s = s.copy() 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

538 if s['type'] == 'int' and isinstance(multiple_of, int): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

539 s['multiple_of'] = multiple_of 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

540 elif s['type'] == 'float' and isinstance(multiple_of, float): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

541 s['multiple_of'] = multiple_of 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

542 elif s['type'] == 'decimal' and isinstance(multiple_of, Decimal): 542 ↛ 545line 542 didn't jump to line 545, because the condition on line 542 was always true32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

543 s['multiple_of'] = multiple_of 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

544 

545 def check_multiple_of(v: Any) -> bool: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

546 return v % multiple_of == 0 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

547 

548 s = _check_func(check_multiple_of, f'% {multiple_of} == 0', s) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

549 elif isinstance(constraint, annotated_types.Timezone): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

550 tz = constraint.tz 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

551 

552 if tz is ...: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

553 if s and s['type'] == 'datetime': 553 ↛ 558line 553 didn't jump to line 558, because the condition on line 553 was always true32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

554 s = s.copy() 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

555 s['tz_constraint'] = 'aware' 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

556 else: 

557 

558 def check_tz_aware(v: object) -> bool: 

559 assert isinstance(v, datetime.datetime) 

560 return v.tzinfo is not None 

561 

562 s = _check_func(check_tz_aware, 'timezone aware', s) 

563 elif tz is None: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

564 if s and s['type'] == 'datetime': 564 ↛ 569line 564 didn't jump to line 569, because the condition on line 564 was always true32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

565 s = s.copy() 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

566 s['tz_constraint'] = 'naive' 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

567 else: 

568 

569 def check_tz_naive(v: object) -> bool: 

570 assert isinstance(v, datetime.datetime) 

571 return v.tzinfo is None 

572 

573 s = _check_func(check_tz_naive, 'timezone naive', s) 

574 else: 

575 raise NotImplementedError('Constraining to a specific timezone is not yet supported') 

576 elif isinstance(constraint, annotated_types.Interval): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

577 if constraint.ge: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

578 s = _apply_constraint(s, annotated_types.Ge(constraint.ge)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

579 if constraint.gt: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

580 s = _apply_constraint(s, annotated_types.Gt(constraint.gt)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

581 if constraint.le: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

582 s = _apply_constraint(s, annotated_types.Le(constraint.le)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

583 if constraint.lt: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

584 s = _apply_constraint(s, annotated_types.Lt(constraint.lt)) 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

585 assert s is not None 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

586 elif isinstance(constraint, annotated_types.Predicate): 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

587 func = constraint.func 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

588 

589 if func.__name__ == '<lambda>': 589 ↛ 607line 589 didn't jump to line 607, because the condition on line 589 was always true32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

590 # attempt to extract the source code for a lambda function 

591 # to use as the function name in error messages 

592 # TODO: is there a better way? should we just not do this? 

593 import inspect 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

594 

595 try: 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

596 # remove ')' suffix, can use removesuffix once we drop 3.8 

597 source = inspect.getsource(func).strip() 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

598 if source.endswith(')'): 598 ↛ 600line 598 didn't jump to line 600, because the condition on line 598 was always true32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

599 source = source[:-1] 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh

600 lambda_source_code = '`' + ''.join(''.join(source.split('lambda ')[1:]).split(':')[1:]).strip() + '`' 32 ctx1oqirkylzaecdstuvABCDfgpwjxmEnFbh