DAGResponse.md

DAGResponse

DAG serializer for responses.

Properties

Name	Type	Description	Notes
bundle_name	str		[optional]
bundle_version	str		[optional]
dag_display_name	str
dag_id	str
description	str		[optional]
file_token	str	Return file token.	[readonly]
fileloc	str
has_import_errors	bool
has_task_concurrency_limits	bool
is_paused	bool
is_stale	bool
last_expired	datetime		[optional]
last_parse_duration	float		[optional]
last_parsed_time	datetime		[optional]
max_active_runs	int		[optional]
max_active_tasks	int
max_consecutive_failed_dag_runs	int
next_dagrun_data_interval_end	datetime		[optional]
next_dagrun_data_interval_start	datetime		[optional]
next_dagrun_logical_date	datetime		[optional]
next_dagrun_run_after	datetime		[optional]
owners	List[str]
relative_fileloc	str		[optional]
tags	List[DagTagResponse]
timetable_description	str		[optional]
timetable_summary	str		[optional]

Example

from airflow_client.client.models.dag_response import DAGResponse

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

# convert the object into a dict
dag_response_dict = dag_response_instance.to_dict()
# create an instance of DAGResponse from a dict
dag_response_from_dict = DAGResponse.from_dict(dag_response_dict)

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