TaskInstance.md

TaskInstance

Properties

Name	Type	Description	Notes
task_id	str		[optional]
task_display_name	str	Human centric display text for the task. New in version 2.9.0	[optional]
dag_id	str		[optional]
dag_run_id	str	The DagRun ID for this task instance New in version 2.3.0	[optional]
execution_date	str		[optional]
start_date	str		[optional]
end_date	str		[optional]
duration	float		[optional]
state	TaskState		[optional]
try_number	int		[optional]
map_index	int		[optional]
max_tries	int		[optional]
hostname	str		[optional]
unixname	str		[optional]
pool	str		[optional]
pool_slots	int		[optional]
queue	str		[optional]
priority_weight	int		[optional]
operator	str	Changed in version 2.1.1: Field becomes nullable.	[optional]
queued_when	str	The datetime that the task enter the state QUEUE, also known as queue_at	[optional]
pid	int		[optional]
executor_config	str		[optional]
sla_miss	SLAMiss		[optional]
rendered_map_index	str	Rendered name of an expanded task instance, if the task is mapped. New in version 2.9.0	[optional]
rendered_fields	object	JSON object describing rendered fields. New in version 2.3.0	[optional]
trigger	Trigger		[optional]
triggerer_job	Job		[optional]
note	str	Contains manually entered notes by the user about the TaskInstance. New in version 2.5.0	[optional]

Example

from titanium_airflow_client.models.task_instance import TaskInstance

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

# convert the object into a dict
task_instance_dict = task_instance_instance.to_dict()
# create an instance of TaskInstance from a dict
task_instance_from_dict = TaskInstance.from_dict(task_instance_dict)

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