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			68 lines
		
	
	
		
			2.2 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			68 lines
		
	
	
		
			2.2 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| #  Copyright 2021 Collate
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| #  Licensed under the Apache License, Version 2.0 (the "License");
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| #  you may not use this file except in compliance with the License.
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| #  You may obtain a copy of the License at
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| #  http://www.apache.org/licenses/LICENSE-2.0
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| #  Unless required by applicable law or agreed to in writing, software
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| #  distributed under the License is distributed on an "AS IS" BASIS,
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| #  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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| #  See the License for the specific language governing permissions and
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| #  limitations under the License.
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| """
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| Module containing the logic to kill all DAG not finished executions
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| """
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| from typing import List
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| 
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| from airflow import settings
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| from airflow.models import DagModel, DagRun, TaskInstance
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| from airflow.utils.state import DagRunState, TaskInstanceState
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| from flask import Response
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| from openmetadata_managed_apis.api.response import ApiResponse
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| 
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| 
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| def kill_all(dag_id: str) -> Response:
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|     """
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|     Validate that the DAG is registered by Airflow.
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|     If exists, check the DagRun
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|     :param dag_id: DAG to find
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|     :return: API Response
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|     """
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| 
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|     with settings.Session() as session:
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| 
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|         dag_model = session.query(DagModel).filter(DagModel.dag_id == dag_id).first()
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| 
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|         if not dag_model:
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|             return ApiResponse.not_found(f"DAG {dag_id} not found.")
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| 
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|         runs: List[DagRun] = (
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|             session.query(DagRun)
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|             .filter(
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|                 DagRun.dag_id == dag_id,
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|                 DagRun.state.in_((DagRunState.RUNNING, DagRunState.QUEUED)),
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|             )
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|             .all()
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|         )
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| 
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|         instances: List[TaskInstance] = session.query(TaskInstance).filter(
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|             TaskInstance.dag_id == dag_id,
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|             TaskInstance.state.notin_(
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|                 (TaskInstanceState.SUCCESS, TaskInstanceState.FAILED)
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|             ),
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|         )
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| 
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|         if not runs or not instances:
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|             return ApiResponse.not_found(
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|                 f"Workflow [{dag_id}] has no running or pending runs nor tasks"
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|             )
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| 
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|         for dag_run in runs:
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|             dag_run.set_state(DagRunState.FAILED)
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| 
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|         for instance in instances:
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|             instance.set_state(TaskInstanceState.FAILED)
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| 
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|         session.commit()
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| 
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|         return ApiResponse.success({"message": f"Workflow [{dag_id}] has been killed"})
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