DAGRunsBatchBody.md

DAGRunsBatchBody

List DAG Runs body for batch endpoint.

Properties

Name	Type	Description	Notes
dag_ids	List[str]		[optional]
end_date_gt	datetime		[optional]
end_date_gte	datetime		[optional]
end_date_lt	datetime		[optional]
end_date_lte	datetime		[optional]
logical_date_gt	datetime		[optional]
logical_date_gte	datetime		[optional]
logical_date_lt	datetime		[optional]
logical_date_lte	datetime		[optional]
order_by	str		[optional]
page_limit	int		[optional] [default to 100]
page_offset	int		[optional] [default to 0]
run_after_gt	datetime		[optional]
run_after_gte	datetime		[optional]
run_after_lt	datetime		[optional]
run_after_lte	datetime		[optional]
start_date_gt	datetime		[optional]
start_date_gte	datetime		[optional]
start_date_lt	datetime		[optional]
start_date_lte	datetime		[optional]
states	List[Optional[DagRunState]]		[optional]

Example

from airflow_client.client.models.dag_runs_batch_body import DAGRunsBatchBody

# TODO update the JSON string below
json = "{}"
# create an instance of DAGRunsBatchBody from a JSON string
dag_runs_batch_body_instance = DAGRunsBatchBody.from_json(json)
# print the JSON string representation of the object
print(DAGRunsBatchBody.to_json())

# convert the object into a dict
dag_runs_batch_body_dict = dag_runs_batch_body_instance.to_dict()
# create an instance of DAGRunsBatchBody from a dict
dag_runs_batch_body_from_dict = DAGRunsBatchBody.from_dict(dag_runs_batch_body_dict)

[Back to Model list] [Back to API list] [Back to README]