TriggerDAGRunPostBody.md

TriggerDAGRunPostBody

Trigger Dag Run Serializer for POST body.

Properties

Name	Type	Description	Notes
bundle_version	str		[optional]
conf	Dict[str, object]		[optional]
dag_run_id	str		[optional]
data_interval_end	datetime		[optional]
data_interval_start	datetime		[optional]
drain_dag	bool	Drain the Dag together with this run. Draining changes the whole Dag: unfinished runs can start or resume except those held by paused backfills. No scheduled runs are created, and the Dag pauses once all unfinished runs finish. Paused backfills must be resumed for draining to complete. Requires the same permission as pausing the Dag.	[optional] [default to False]
logical_date	datetime		[optional]
note	str		[optional]
partition_key	str		[optional]
run_after	datetime		[optional]

Example

from airflow_client.client.models.trigger_dag_run_post_body import TriggerDAGRunPostBody

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

# convert the object into a dict
trigger_dag_run_post_body_dict = trigger_dag_run_post_body_instance.to_dict()
# create an instance of TriggerDAGRunPostBody from a dict
trigger_dag_run_post_body_from_dict = TriggerDAGRunPostBody.from_dict(trigger_dag_run_post_body_dict)

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