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…lowSensorTimeout` (#44954)
related: #44414
We already have support for handling terminal states from the task execution side as well as the task SDK client side. (almost) and failed state is part of the terminal state.
This PR extends the task runner's run function to handle cases when we have to fail a task: `AirflowFailException, AirflowSensorTimeout`. It is functionally very similar to #44786
As part of failing a task, multiple other things also needs to be done like:
- Callbacks: which will eventually be converted to teardown tasks
- Retries: Handled in #44351
- unmapping TIs: #44351
- Handling task history: will be handled by #44952
- Handling downstream tasks and non teardown tasks: will be handled by #44951
### Testing performed
#### End to End with Postman
1. Run airflow with breeze and run any DAG
![image](https://github.com/user-attachments/assets/fafc89ea-4e28-4802-912b-d72bf401d94b)
2. Login to metadata DB and get the "id" for your task instance from TI table
![image](https://github.com/user-attachments/assets/75440f0f-f62a-4277-a2e6-cb78bd666dd4)
3. Send a request to `fail` your task
![image](https://github.com/user-attachments/assets/5991e944-f416-4b79-9954-15f1a6ebdd79)
Or using curl:
```
curl --location --request PATCH 'http://localhost:29091/execution/task-instances/0193cec2-f46b-7348-9c27-9869d835dc7b/state' \
--header 'Content-Type: application/json' \
--data '{
"state": "failed",
"end_date": "2024-10-31T12:00:00Z"
}'
```
4. Refresh back the Airflow UI to see that the task is in failed state.
![image](https://github.com/user-attachments/assets/bb866dc6-e1d6-435e-abe4-2d04c97280ad)
Body
Usage:
airflow/airflow/models/taskinstance.py
Lines 3089 to 3095 in aaf29ee
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