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1# 

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

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

4# distributed with this work for additional information 

5# regarding copyright ownership. The ASF licenses this file 

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

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

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

9# 

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

11# 

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

13# software distributed under the License is distributed on an 

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

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

16# specific language governing permissions and limitations 

17# under the License. 

18from __future__ import annotations 

19 

20from collections.abc import Iterator 

21from typing import TYPE_CHECKING 

22 

23from sqlalchemy import select 

24 

25from airflow.models.taskinstance import TaskInstance 

26from airflow.ti_deps.deps.base_ti_dep import BaseTIDep 

27from airflow.utils.state import State, TaskInstanceState 

28 

29if TYPE_CHECKING: 

30 from sqlalchemy.orm import Session 

31 

32 from airflow.ti_deps.dep_context import DepContext 

33 from airflow.ti_deps.deps.base_ti_dep import TIDepStatus 

34 

35 

36class MappedTaskUpstreamDep(BaseTIDep): 

37 """ 

38 Determines if the task, if mapped, is allowed to run based on its mapped dependencies. 

39 

40 In particular, check if upstream tasks that provide XComs used by this task for task mapping are in 

41 states that allow the task instance to run. 

42 """ 

43 

44 NAME = "Mapped dependencies have succeeded" 

45 IGNORABLE = True 

46 IS_TASK_DEP = True 

47 

48 def _get_dep_statuses( 

49 self, 

50 ti: TaskInstance, 

51 session: Session, 

52 dep_context: DepContext, 

53 ) -> Iterator[TIDepStatus]: 

54 from airflow.models.mappedoperator import MappedOperator 

55 

56 if isinstance(ti.task, MappedOperator): 

57 mapped_dependencies = ti.task.iter_mapped_dependencies() 

58 elif ti.task is not None and (task_group := ti.task.get_closest_mapped_task_group()) is not None: 

59 mapped_dependencies = task_group.iter_mapped_dependencies() 

60 else: 

61 return 

62 

63 # Get the tis of all mapped dependencies. In case a mapped dependency is itself mapped, we are 

64 # only interested in it if it hasn't been expanded yet, i.e., we filter by map_index=-1. This is 

65 # because if it has been expanded, it did not fail and was not skipped outright which is all we need 

66 # to know for the purposes of this check. 

67 mapped_dependency_tis = ( 

68 session.scalars( 

69 select(TaskInstance).where( 

70 TaskInstance.task_id.in_(operator.task_id for operator in mapped_dependencies), 

71 TaskInstance.dag_id == ti.dag_id, 

72 TaskInstance.run_id == ti.run_id, 

73 TaskInstance.map_index == -1, 

74 ) 

75 ).all() 

76 if mapped_dependencies 

77 else [] 

78 ) 

79 if not mapped_dependency_tis: 

80 yield self._passing_status(reason="There are no (unexpanded) mapped dependencies!") 

81 return 

82 

83 finished_states = {ti.state for ti in mapped_dependency_tis if ti.state in State.finished} 

84 if not finished_states: 

85 return 

86 if finished_states == {TaskInstanceState.SUCCESS}: 

87 # Mapped dependencies are at least partially done and only feature successes 

88 return 

89 

90 # At least one mapped dependency was not successful 

91 if ti.state not in {TaskInstanceState.FAILED, TaskInstanceState.UPSTREAM_FAILED}: 

92 # If another dependency (such as the trigger rule dependency) has not already marked the task as 

93 # FAILED or UPSTREAM_FAILED then we update the state 

94 new_state = None 

95 if ( 

96 TaskInstanceState.FAILED in finished_states 

97 or TaskInstanceState.UPSTREAM_FAILED in finished_states 

98 ): 

99 new_state = TaskInstanceState.UPSTREAM_FAILED 

100 elif TaskInstanceState.SKIPPED in finished_states: 

101 new_state = TaskInstanceState.SKIPPED 

102 if new_state is not None and ti.set_state(new_state, session): 

103 dep_context.have_changed_ti_states = True 

104 yield self._failing_status(reason="At least one of task's mapped dependencies has not succeeded!")