[GitHub] [airflow] fbertos edited a comment on issue #15888: Abort a DAG Run

[GitBox <gi...@apache.org>]

fbertos edited a comment on issue #15888:
URL: https://github.com/apache/airflow/issues/15888#issuecomment-852925274


   Hi @alexing,
   
   We tried a different approach through the REST API to avoid touching the DB, this a code example:
   
   
   ```
       run_id = str(sys.argv[2])
   
       # We get first the task instance of the DAG run
       r = requests.get('http://localhost:8081/api/v1/dags/' + dag_id + '/dagRuns/' + str(run_id) + '/taskInstances?state=running', 
           auth=HTTPBasicAuth('admin', 'admin'))
   
       print(r.json()['task_instances'][0])
       task_id = r.json()['task_instances'][0]['task_id']
       execution_date = r.json()['task_instances'][0]['execution_date']
   
       # We set the tasks to failed
       r = requests.post('http://localhost:8081/api/v1/dags/' + dag_id + '/updateTaskInstancesState', 
           json={"dry_run": False,
               "task_id": str(task_id), 
               "execution_date": str(execution_date),
               "include_upstream": False,
               "include_downstream": False,
               "include_future": False,
               "include_past": False,
               "new_state": "**failed**" 
           },
           auth=HTTPBasicAuth('admin', 'admin'))
   
       if r.status_code == 200:
           print("Dag aborted")
   
   ```
   
   I hope it helps.
   


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