Request body for Clear Task Instances endpoint.
| Name | Type | Description | Notes |
|---|---|---|---|
| dag_run_id | str | [optional] | |
| dry_run | bool | [optional] [default to True] | |
| end_date | datetime | [optional] | |
| include_downstream | bool | [optional] [default to False] | |
| include_future | bool | [optional] [default to False] | |
| include_past | bool | [optional] [default to False] | |
| include_upstream | bool | [optional] [default to False] | |
| only_failed | bool | [optional] [default to True] | |
| only_running | bool | [optional] [default to False] | |
| reset_dag_runs | bool | [optional] [default to True] | |
| run_on_latest_version | bool | (Experimental) Run on the latest bundle version of the dag after clearing the task instances. | [optional] [default to False] |
| start_date | datetime | [optional] | |
| task_ids | List[ClearTaskInstancesBodyTaskIdsInner] | [optional] |
from airflow_client.client.models.clear_task_instances_body import ClearTaskInstancesBody # TODO update the JSON string below json = "{}" # create an instance of ClearTaskInstancesBody from a JSON string clear_task_instances_body_instance = ClearTaskInstancesBody.from_json(json) # print the JSON string representation of the object print(ClearTaskInstancesBody.to_json()) # convert the object into a dict clear_task_instances_body_dict = clear_task_instances_body_instance.to_dict() # create an instance of ClearTaskInstancesBody from a dict clear_task_instances_body_from_dict = ClearTaskInstancesBody.from_dict(clear_task_instances_body_dict)