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 AirflowNotFoundException(AirflowException):
51 """Raise when the requested object/resource is not available in the system."""
52
53 status_code = HTTPStatus.NOT_FOUND
54
55
56class AirflowDagCycleException(AirflowException):
57 """Raise when there is a cycle in Dag definition."""
58
59
60class AirflowRuntimeError(Exception):
61 """Generic Airflow error raised by runtime functions."""
62
63 def __init__(self, error: ErrorResponse):
64 self.error = error
65 super().__init__(f"{error.error.value}: {error.detail}")
66
67
68class AirflowTimetableInvalid(AirflowException):
69 """Raise when a DAG has an invalid timetable."""
70
71
72class ErrorType(enum.Enum):
73 """Error types used in the API client."""
74
75 CONNECTION_NOT_FOUND = "CONNECTION_NOT_FOUND"
76 VARIABLE_NOT_FOUND = "VARIABLE_NOT_FOUND"
77 XCOM_NOT_FOUND = "XCOM_NOT_FOUND"
78 ASSET_NOT_FOUND = "ASSET_NOT_FOUND"
79 DAGRUN_ALREADY_EXISTS = "DAGRUN_ALREADY_EXISTS"
80 GENERIC_ERROR = "GENERIC_ERROR"
81 API_SERVER_ERROR = "API_SERVER_ERROR"
82
83
84class XComForMappingNotPushed(TypeError):
85 """Raise when a mapped downstream's dependency fails to push XCom for task mapping."""
86
87 def __str__(self) -> str:
88 return "did not push XCom for task mapping"
89
90
91class UnmappableXComTypePushed(TypeError):
92 """Raise when an unmappable type is pushed as a mapped downstream's dependency."""
93
94 def __init__(self, value: Any, *values: Any) -> None:
95 super().__init__(value, *values)
96
97 def __str__(self) -> str:
98 typename = type(self.args[0]).__qualname__
99 for arg in self.args[1:]:
100 typename = f"{typename}[{type(arg).__qualname__}]"
101 return f"unmappable return type {typename!r}"
102
103
104class AirflowFailException(AirflowException):
105 """Raise when the task should be failed without retrying."""
106
107
108class _AirflowExecuteWithInactiveAssetExecption(AirflowFailException):
109 main_message: str
110
111 def __init__(self, inactive_asset_keys: Collection[AssetUniqueKey | AssetNameRef | AssetUriRef]) -> None:
112 self.inactive_asset_keys = inactive_asset_keys
113
114 @staticmethod
115 def _render_asset_key(key: AssetUniqueKey | AssetNameRef | AssetUriRef) -> str:
116 from airflow.sdk.definitions.asset import AssetNameRef, AssetUniqueKey, AssetUriRef
117
118 if isinstance(key, AssetUniqueKey):
119 return f"Asset(name={key.name!r}, uri={key.uri!r})"
120 if isinstance(key, AssetNameRef):
121 return f"Asset.ref(name={key.name!r})"
122 if isinstance(key, AssetUriRef):
123 return f"Asset.ref(uri={key.uri!r})"
124 return repr(key) # Should not happen, but let's fails more gracefully in an exception.
125
126 def __str__(self) -> str:
127 return f"{self.main_message}: {self.inactive_assets_message}"
128
129 @property
130 def inactive_assets_message(self) -> str:
131 return ", ".join(self._render_asset_key(key) for key in self.inactive_asset_keys)
132
133
134class AirflowInactiveAssetInInletOrOutletException(_AirflowExecuteWithInactiveAssetExecption):
135 """Raise when the task is executed with inactive assets in its inlet or outlet."""
136
137 main_message = "Task has the following inactive assets in its inlets or outlets"
138
139
140class AirflowRescheduleException(AirflowException):
141 """
142 Raise when the task should be re-scheduled at a later time.
143
144 :param reschedule_date: The date when the task should be rescheduled
145 """
146
147 def __init__(self, reschedule_date):
148 super().__init__()
149 self.reschedule_date = reschedule_date
150
151 def serialize(self):
152 cls = self.__class__
153 return f"{cls.__module__}.{cls.__name__}", (), {"reschedule_date": self.reschedule_date}
154
155
156class AirflowSensorTimeout(AirflowException):
157 """Raise when there is a timeout on sensor polling."""
158
159
160class AirflowSkipException(AirflowException):
161 """Raise when the task should be skipped."""
162
163
164class AirflowTaskTerminated(BaseException):
165 """Raise when the task execution is terminated."""
166
167
168# Important to inherit BaseException instead of AirflowException->Exception, since this Exception is used
169# to explicitly interrupt ongoing task. Code that does normal error-handling should not treat
170# such interrupt as an error that can be handled normally. (Compare with KeyboardInterrupt)
171class AirflowTaskTimeout(BaseException):
172 """Raise when the task execution times-out."""
173
174
175class TaskDeferred(BaseException):
176 """
177 Signal an operator moving to deferred state.
178
179 Special exception raised to signal that the operator it was raised from
180 wishes to defer until a trigger fires. Triggers can send execution back to task or end the task instance
181 directly. If the trigger should end the task instance itself, ``method_name`` does not matter,
182 and can be None; otherwise, provide the name of the method that should be used when
183 resuming execution in the task.
184 """
185
186 def __init__(
187 self,
188 *,
189 trigger,
190 method_name: str,
191 kwargs: dict[str, Any] | None = None,
192 timeout=None,
193 ):
194 super().__init__()
195 self.trigger = trigger
196 self.method_name = method_name
197 self.kwargs = kwargs
198 self.timeout = timeout
199
200 def serialize(self):
201 cls = self.__class__
202 return (
203 f"{cls.__module__}.{cls.__name__}",
204 (),
205 {
206 "trigger": self.trigger,
207 "method_name": self.method_name,
208 "kwargs": self.kwargs,
209 "timeout": self.timeout,
210 },
211 )
212
213 def __repr__(self) -> str:
214 return f"<TaskDeferred trigger={self.trigger} method={self.method_name}>"
215
216
217class TaskDeferralError(AirflowException):
218 """Raised when a task failed during deferral for some reason."""
219
220
221class TaskDeferralTimeout(AirflowException):
222 """Raise when there is a timeout on the deferral."""
223
224
225class DagRunTriggerException(AirflowException):
226 """
227 Signal by an operator to trigger a specific Dag Run of a dag.
228
229 Special exception raised to signal that the operator it was raised from wishes to trigger
230 a specific Dag Run of a dag. This is used in the ``TriggerDagRunOperator``.
231 """
232
233 def __init__(
234 self,
235 *,
236 trigger_dag_id: str,
237 dag_run_id: str,
238 conf: dict | None,
239 logical_date=None,
240 reset_dag_run: bool,
241 skip_when_already_exists: bool,
242 wait_for_completion: bool,
243 allowed_states: list[str],
244 failed_states: list[str],
245 poke_interval: int,
246 deferrable: bool,
247 ):
248 super().__init__()
249 self.trigger_dag_id = trigger_dag_id
250 self.dag_run_id = dag_run_id
251 self.conf = conf
252 self.logical_date = logical_date
253 self.reset_dag_run = reset_dag_run
254 self.skip_when_already_exists = skip_when_already_exists
255 self.wait_for_completion = wait_for_completion
256 self.allowed_states = allowed_states
257 self.failed_states = failed_states
258 self.poke_interval = poke_interval
259 self.deferrable = deferrable
260
261
262class DownstreamTasksSkipped(AirflowException):
263 """
264 Signal by an operator to skip its downstream tasks.
265
266 Special exception raised to signal that the operator it was raised from wishes to skip
267 downstream tasks. This is used in the ShortCircuitOperator.
268
269 :param tasks: List of task_ids to skip or a list of tuples with task_id and map_index to skip.
270 """
271
272 def __init__(self, *, tasks):
273 super().__init__()
274 self.tasks = tasks
275
276
277class XComNotFound(AirflowException):
278 """Raise when an XCom reference is being resolved against a non-existent XCom."""
279
280 def __init__(self, dag_id: str, task_id: str, key: str) -> None:
281 super().__init__()
282 self.dag_id = dag_id
283 self.task_id = task_id
284 self.key = key
285
286 def __str__(self) -> str:
287 return f'XComArg result from {self.task_id} at {self.dag_id} with key="{self.key}" is not found!'
288
289 def serialize(self):
290 cls = self.__class__
291 return (
292 f"{cls.__module__}.{cls.__name__}",
293 (),
294 {"dag_id": self.dag_id, "task_id": self.task_id, "key": self.key},
295 )
296
297
298class ParamValidationError(AirflowException):
299 """Raise when DAG params is invalid."""
300
301
302class DuplicateTaskIdFound(AirflowException):
303 """Raise when a Task with duplicate task_id is defined in the same DAG."""
304
305
306class TaskAlreadyInTaskGroup(AirflowException):
307 """Raise when a Task cannot be added to a TaskGroup since it already belongs to another TaskGroup."""
308
309 def __init__(self, task_id: str, existing_group_id: str | None, new_group_id: str):
310 super().__init__(task_id, new_group_id)
311 self.task_id = task_id
312 self.existing_group_id = existing_group_id
313 self.new_group_id = new_group_id
314
315 def __str__(self) -> str:
316 if self.existing_group_id is None:
317 existing_group = "the DAG's root group"
318 else:
319 existing_group = f"group {self.existing_group_id!r}"
320 return f"cannot add {self.task_id!r} to {self.new_group_id!r} (already in {existing_group})"
321
322
323class TaskNotFound(AirflowException):
324 """Raise when a Task is not available in the system."""
325
326
327class FailFastDagInvalidTriggerRule(AirflowException):
328 """Raise when a dag has 'fail_fast' enabled yet has a non-default trigger rule."""
329
330 _allowed_rules = (TriggerRule.ALL_SUCCESS, TriggerRule.ALL_DONE_SETUP_SUCCESS)
331
332 @classmethod
333 def check(cls, *, fail_fast: bool, trigger_rule: TriggerRule):
334 """
335 Check that fail_fast dag tasks have allowable trigger rules.
336
337 :meta private:
338 """
339 if fail_fast and trigger_rule not in cls._allowed_rules:
340 raise cls()
341
342 def __str__(self) -> str:
343 return f"A 'fail_fast' dag can only have {TriggerRule.ALL_SUCCESS} trigger rule"
344
345
346class RemovedInAirflow4Warning(DeprecationWarning):
347 """Issued for usage of deprecated features that will be removed in Airflow4."""
348
349 deprecated_since: str | None = None
350 "Indicates the airflow version that started raising this deprecation warning"