Task Instance body for get batch.
| Name | Type | Description | Notes |
|---|---|---|---|
| dag_ids | List[str] | [optional] | |
| dag_run_ids | List[str] | [optional] | |
| duration_gte | float | [optional] | |
| duration_lte | float | [optional] | |
| end_date_gte | datetime | [optional] | |
| end_date_lte | datetime | [optional] | |
| executor | List[str] | [optional] | |
| logical_date_gte | 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] | |
| pool | List[str] | [optional] | |
| queue | List[str] | [optional] | |
| run_after_gte | datetime | [optional] | |
| run_after_lte | datetime | [optional] | |
| start_date_gte | datetime | [optional] | |
| start_date_lte | datetime | [optional] | |
| state | List[Optional[TaskInstanceState]] | [optional] | |
| task_ids | List[str] | [optional] |
from airflow_client.client.models.task_instances_batch_body import TaskInstancesBatchBody # TODO update the JSON string below json = "{}" # create an instance of TaskInstancesBatchBody from a JSON string task_instances_batch_body_instance = TaskInstancesBatchBody.from_json(json) # print the JSON string representation of the object print(TaskInstancesBatchBody.to_json()) # convert the object into a dict task_instances_batch_body_dict = task_instances_batch_body_instance.to_dict() # create an instance of TaskInstancesBatchBody from a dict task_instances_batch_body_from_dict = TaskInstancesBatchBody.from_dict(task_instances_batch_body_dict)