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1# Licensed to the Apache Software Foundation (ASF) under one 

2# or more contributor license agreements. See the NOTICE file 

3# distributed with this work for additional information 

4# regarding copyright ownership. The ASF licenses this file 

5# to you under the Apache License, Version 2.0 (the 

6# "License"); you may not use this file except in compliance 

7# with the License. You may obtain a copy of the License at 

8# 

9# http://www.apache.org/licenses/LICENSE-2.0 

10# 

11# Unless required by applicable law or agreed to in writing, 

12# software distributed under the License is distributed on an 

13# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY 

14# KIND, either express or implied. See the License for the 

15# specific language governing permissions and limitations 

16# under the License. 

17 

18from __future__ import annotations 

19 

20import enum 

21from http import HTTPStatus 

22from typing import TYPE_CHECKING, Any 

23 

24from airflow.sdk import TriggerRule 

25 

26# Re exporting AirflowConfigException from shared configuration 

27from airflow.sdk._shared.configuration.exceptions import AirflowConfigException as AirflowConfigException 

28 

29if TYPE_CHECKING: 

30 from collections.abc import Collection 

31 

32 from airflow.sdk.definitions.asset import AssetNameRef, AssetUniqueKey, AssetUriRef 

33 from airflow.sdk.execution_time.comms import ErrorResponse 

34 

35 

36class AirflowException(Exception): 

37 """ 

38 Base class for all Airflow's errors. 

39 

40 Each custom exception should be derived from this class. 

41 """ 

42 

43 status_code = HTTPStatus.INTERNAL_SERVER_ERROR 

44 

45 def serialize(self): 

46 cls = self.__class__ 

47 return f"{cls.__module__}.{cls.__name__}", (str(self),), {} 

48 

49 

50class AirflowOptionalProviderFeatureException(AirflowException): 

51 """Raise by providers when imports are missing for optional provider features.""" 

52 

53 

54class AirflowNotFoundException(AirflowException): 

55 """Raise when the requested object/resource is not available in the system.""" 

56 

57 status_code = HTTPStatus.NOT_FOUND 

58 

59 

60class AirflowDagCycleException(AirflowException): 

61 """Raise when there is a cycle in Dag definition.""" 

62 

63 

64class AirflowRuntimeError(Exception): 

65 """Generic Airflow error raised by runtime functions.""" 

66 

67 def __init__(self, error: ErrorResponse): 

68 self.error = error 

69 super().__init__(f"{error.error.value}: {error.detail}") 

70 

71 

72class AirflowTimetableInvalid(AirflowException): 

73 """Raise when a DAG has an invalid timetable.""" 

74 

75 

76class ErrorType(enum.Enum): 

77 """Error types used in the API client.""" 

78 

79 CONNECTION_NOT_FOUND = "CONNECTION_NOT_FOUND" 

80 VARIABLE_NOT_FOUND = "VARIABLE_NOT_FOUND" 

81 XCOM_NOT_FOUND = "XCOM_NOT_FOUND" 

82 ASSET_NOT_FOUND = "ASSET_NOT_FOUND" 

83 DAGRUN_ALREADY_EXISTS = "DAGRUN_ALREADY_EXISTS" 

84 GENERIC_ERROR = "GENERIC_ERROR" 

85 API_SERVER_ERROR = "API_SERVER_ERROR" 

86 

87 

88class XComForMappingNotPushed(TypeError): 

89 """Raise when a mapped downstream's dependency fails to push XCom for task mapping.""" 

90 

91 def __str__(self) -> str: 

92 return "did not push XCom for task mapping" 

93 

94 

95class UnmappableXComTypePushed(TypeError): 

96 """Raise when an unmappable type is pushed as a mapped downstream's dependency.""" 

97 

98 def __init__(self, value: Any, *values: Any) -> None: 

99 super().__init__(value, *values) 

100 

101 def __str__(self) -> str: 

102 typename = type(self.args[0]).__qualname__ 

103 for arg in self.args[1:]: 

104 typename = f"{typename}[{type(arg).__qualname__}]" 

105 return f"unmappable return type {typename!r}" 

106 

107 

108class AirflowFailException(AirflowException): 

109 """Raise when the task should be failed without retrying.""" 

110 

111 

112class _AirflowExecuteWithInactiveAssetExecption(AirflowFailException): 

113 main_message: str 

114 

115 def __init__(self, inactive_asset_keys: Collection[AssetUniqueKey | AssetNameRef | AssetUriRef]) -> None: 

116 self.inactive_asset_keys = inactive_asset_keys 

117 

118 @staticmethod 

119 def _render_asset_key(key: AssetUniqueKey | AssetNameRef | AssetUriRef) -> str: 

120 from airflow.sdk.definitions.asset import AssetNameRef, AssetUniqueKey, AssetUriRef 

121 

122 if isinstance(key, AssetUniqueKey): 

123 return f"Asset(name={key.name!r}, uri={key.uri!r})" 

124 if isinstance(key, AssetNameRef): 

125 return f"Asset.ref(name={key.name!r})" 

126 if isinstance(key, AssetUriRef): 

127 return f"Asset.ref(uri={key.uri!r})" 

128 return repr(key) # Should not happen, but let's fails more gracefully in an exception. 

129 

130 def __str__(self) -> str: 

131 return f"{self.main_message}: {self.inactive_assets_message}" 

132 

133 @property 

134 def inactive_assets_message(self) -> str: 

135 return ", ".join(self._render_asset_key(key) for key in self.inactive_asset_keys) 

136 

137 

138class AirflowInactiveAssetInInletOrOutletException(_AirflowExecuteWithInactiveAssetExecption): 

139 """Raise when the task is executed with inactive assets in its inlet or outlet.""" 

140 

141 main_message = "Task has the following inactive assets in its inlets or outlets" 

142 

143 

144class AirflowRescheduleException(AirflowException): 

145 """ 

146 Raise when the task should be re-scheduled at a later time. 

147 

148 :param reschedule_date: The date when the task should be rescheduled 

149 """ 

150 

151 def __init__(self, reschedule_date): 

152 super().__init__() 

153 self.reschedule_date = reschedule_date 

154 

155 def serialize(self): 

156 cls = self.__class__ 

157 return f"{cls.__module__}.{cls.__name__}", (), {"reschedule_date": self.reschedule_date} 

158 

159 

160class AirflowSensorTimeout(AirflowException): 

161 """Raise when there is a timeout on sensor polling.""" 

162 

163 

164class AirflowSkipException(AirflowException): 

165 """Raise when the task should be skipped.""" 

166 

167 

168class AirflowTaskTerminated(BaseException): 

169 """Raise when the task execution is terminated.""" 

170 

171 

172# Important to inherit BaseException instead of AirflowException->Exception, since this Exception is used 

173# to explicitly interrupt ongoing task. Code that does normal error-handling should not treat 

174# such interrupt as an error that can be handled normally. (Compare with KeyboardInterrupt) 

175class AirflowTaskTimeout(BaseException): 

176 """Raise when the task execution times-out.""" 

177 

178 

179class TaskDeferred(BaseException): 

180 """ 

181 Signal an operator moving to deferred state. 

182 

183 Special exception raised to signal that the operator it was raised from 

184 wishes to defer until a trigger fires. Triggers can send execution back to task or end the task instance 

185 directly. If the trigger should end the task instance itself, ``method_name`` does not matter, 

186 and can be None; otherwise, provide the name of the method that should be used when 

187 resuming execution in the task. 

188 """ 

189 

190 def __init__( 

191 self, 

192 *, 

193 trigger, 

194 method_name: str, 

195 kwargs: dict[str, Any] | None = None, 

196 timeout=None, 

197 ): 

198 super().__init__() 

199 self.trigger = trigger 

200 self.method_name = method_name 

201 self.kwargs = kwargs 

202 self.timeout = timeout 

203 

204 def serialize(self): 

205 cls = self.__class__ 

206 return ( 

207 f"{cls.__module__}.{cls.__name__}", 

208 (), 

209 { 

210 "trigger": self.trigger, 

211 "method_name": self.method_name, 

212 "kwargs": self.kwargs, 

213 "timeout": self.timeout, 

214 }, 

215 ) 

216 

217 def __repr__(self) -> str: 

218 return f"<TaskDeferred trigger={self.trigger} method={self.method_name}>" 

219 

220 

221class TaskDeferralError(AirflowException): 

222 """Raised when a task failed during deferral for some reason.""" 

223 

224 

225class TaskDeferralTimeout(AirflowException): 

226 """Raise when there is a timeout on the deferral.""" 

227 

228 

229class DagRunTriggerException(AirflowException): 

230 """ 

231 Signal by an operator to trigger a specific Dag Run of a dag. 

232 

233 Special exception raised to signal that the operator it was raised from wishes to trigger 

234 a specific Dag Run of a dag. This is used in the ``TriggerDagRunOperator``. 

235 """ 

236 

237 def __init__( 

238 self, 

239 *, 

240 trigger_dag_id: str, 

241 dag_run_id: str, 

242 conf: dict | None, 

243 logical_date=None, 

244 reset_dag_run: bool, 

245 skip_when_already_exists: bool, 

246 wait_for_completion: bool, 

247 allowed_states: list[str], 

248 failed_states: list[str], 

249 poke_interval: int, 

250 deferrable: bool, 

251 ): 

252 super().__init__() 

253 self.trigger_dag_id = trigger_dag_id 

254 self.dag_run_id = dag_run_id 

255 self.conf = conf 

256 self.logical_date = logical_date 

257 self.reset_dag_run = reset_dag_run 

258 self.skip_when_already_exists = skip_when_already_exists 

259 self.wait_for_completion = wait_for_completion 

260 self.allowed_states = allowed_states 

261 self.failed_states = failed_states 

262 self.poke_interval = poke_interval 

263 self.deferrable = deferrable 

264 

265 

266class DownstreamTasksSkipped(AirflowException): 

267 """ 

268 Signal by an operator to skip its downstream tasks. 

269 

270 Special exception raised to signal that the operator it was raised from wishes to skip 

271 downstream tasks. This is used in the ShortCircuitOperator. 

272 

273 :param tasks: List of task_ids to skip or a list of tuples with task_id and map_index to skip. 

274 """ 

275 

276 def __init__(self, *, tasks): 

277 super().__init__() 

278 self.tasks = tasks 

279 

280 

281class XComNotFound(AirflowException): 

282 """Raise when an XCom reference is being resolved against a non-existent XCom.""" 

283 

284 def __init__(self, dag_id: str, task_id: str, key: str) -> None: 

285 super().__init__() 

286 self.dag_id = dag_id 

287 self.task_id = task_id 

288 self.key = key 

289 

290 def __str__(self) -> str: 

291 return f'XComArg result from {self.task_id} at {self.dag_id} with key="{self.key}" is not found!' 

292 

293 def serialize(self): 

294 cls = self.__class__ 

295 return ( 

296 f"{cls.__module__}.{cls.__name__}", 

297 (), 

298 {"dag_id": self.dag_id, "task_id": self.task_id, "key": self.key}, 

299 ) 

300 

301 

302class ParamValidationError(AirflowException): 

303 """Raise when DAG params is invalid.""" 

304 

305 

306class DuplicateTaskIdFound(AirflowException): 

307 """Raise when a Task with duplicate task_id is defined in the same DAG.""" 

308 

309 

310class TaskAlreadyInTaskGroup(AirflowException): 

311 """Raise when a Task cannot be added to a TaskGroup since it already belongs to another TaskGroup.""" 

312 

313 def __init__(self, task_id: str, existing_group_id: str | None, new_group_id: str): 

314 super().__init__(task_id, new_group_id) 

315 self.task_id = task_id 

316 self.existing_group_id = existing_group_id 

317 self.new_group_id = new_group_id 

318 

319 def __str__(self) -> str: 

320 if self.existing_group_id is None: 

321 existing_group = "the DAG's root group" 

322 else: 

323 existing_group = f"group {self.existing_group_id!r}" 

324 return f"cannot add {self.task_id!r} to {self.new_group_id!r} (already in {existing_group})" 

325 

326 

327class TaskNotFound(AirflowException): 

328 """Raise when a Task is not available in the system.""" 

329 

330 

331class FailFastDagInvalidTriggerRule(AirflowException): 

332 """Raise when a dag has 'fail_fast' enabled yet has a non-default trigger rule.""" 

333 

334 _allowed_rules = (TriggerRule.ALL_SUCCESS, TriggerRule.ALL_DONE_SETUP_SUCCESS) 

335 

336 @classmethod 

337 def check(cls, *, fail_fast: bool, trigger_rule: TriggerRule): 

338 """ 

339 Check that fail_fast dag tasks have allowable trigger rules. 

340 

341 :meta private: 

342 """ 

343 if fail_fast and trigger_rule not in cls._allowed_rules: 

344 raise cls() 

345 

346 def __str__(self) -> str: 

347 return f"A 'fail_fast' dag can only have {TriggerRule.ALL_SUCCESS} trigger rule" 

348 

349 

350class RemovedInAirflow4Warning(DeprecationWarning): 

351 """Issued for usage of deprecated features that will be removed in Airflow4.""" 

352 

353 deprecated_since: str | None = None 

354 "Indicates the airflow version that started raising this deprecation warning"