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			67 lines
		
	
	
		
			2.2 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			67 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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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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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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    with settings.Session() as session:
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        dag_model = session.query(DagModel).filter(DagModel.dag_id == dag_id).first()
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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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        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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        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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        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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        for dag_run in runs:
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            dag_run.set_state(DagRunState.FAILED)
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        for instance in instances:
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            instance.set_state(TaskInstanceState.FAILED)
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        session.commit()
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        return ApiResponse.success({"message": f"Workflow [{dag_id}] has been killed"})
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