DAG Run serializer for responses.
| Name | Type | Description | Notes |
|---|---|---|---|
| bundle_version | str | [optional] | |
| conf | object | [optional] | |
| dag_display_name | str | ||
| dag_id | str | ||
| dag_run_id | str | ||
| dag_versions | List[DagVersionResponse] | ||
| data_interval_end | datetime | [optional] | |
| data_interval_start | datetime | [optional] | |
| duration | float | [optional] | |
| end_date | datetime | [optional] | |
| last_scheduling_decision | datetime | [optional] | |
| logical_date | datetime | [optional] | |
| note | str | [optional] | |
| queued_at | datetime | [optional] | |
| run_after | datetime | ||
| run_type | DagRunType | ||
| start_date | datetime | [optional] | |
| state | DagRunState | ||
| triggered_by | DagRunTriggeredByType | [optional] | |
| triggering_user_name | str | [optional] |
from airflow_client.client.models.dag_run_response import DAGRunResponse # TODO update the JSON string below json = "{}" # create an instance of DAGRunResponse from a JSON string dag_run_response_instance = DAGRunResponse.from_json(json) # print the JSON string representation of the object print(DAGRunResponse.to_json()) # convert the object into a dict dag_run_response_dict = dag_run_response_instance.to_dict() # create an instance of DAGRunResponse from a dict dag_run_response_from_dict = DAGRunResponse.from_dict(dag_run_response_dict)