Task.md

Task

For details see: airflow.models.baseoperator.BaseOperator

Properties

Name	Type	Description	Notes
class_ref	ClassReference		[optional]
task_id	str		[optional] [readonly]
task_display_name	str		[optional] [readonly]
owner	str		[optional] [readonly]
start_date	datetime		[optional] [readonly]
end_date	datetime		[optional] [readonly]
trigger_rule	TriggerRule		[optional]
extra_links	List[TaskExtraLinksInner]		[optional] [readonly]
depends_on_past	bool		[optional] [readonly]
is_mapped	bool		[optional] [readonly]
wait_for_downstream	bool		[optional] [readonly]
retries	float		[optional] [readonly]
queue	str		[optional] [readonly]
pool	str		[optional] [readonly]
pool_slots	float		[optional] [readonly]
execution_timeout	TimeDelta		[optional]
retry_delay	TimeDelta		[optional]
retry_exponential_backoff	bool		[optional] [readonly]
priority_weight	float		[optional] [readonly]
weight_rule	WeightRule		[optional]
ui_color	str	Color in hexadecimal notation.	[optional]
ui_fgcolor	str	Color in hexadecimal notation.	[optional]
template_fields	List[str]		[optional] [readonly]
sub_dag	DAG		[optional]
downstream_task_ids	List[str]		[optional] [readonly]

Example

from titanium_airflow_client.models.task import Task

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

# convert the object into a dict
task_dict = task_instance.to_dict()
# create an instance of Task from a dict
task_from_dict = Task.from_dict(task_dict)

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