surawut-jirasaktavee opened a new issue, #74756:
URL: https://github.com/apache/airflow/issues/74756
### Under which category would you file this issue?
Task SDK
### Apache Airflow version
3.3.1
### What happened and how to reproduce it?
A TaskFlow function decorated with `@teardown` can only be used once per
Dag. Calling it a second time, or calling `.override(...)` after the first use,
raises `ValueError`:
```python
from airflow.sdk import DAG, teardown
@teardown
def cleanup(x=None): ...
with DAG("teardown_reuse", schedule=None):
cleanup()
cleanup() # ValueError: Trigger rule not configurable for teardown
tasks.
```
`cleanup.override(task_id="cleanup_2")()` raises the same error after a
first `cleanup()` or `cleanup.expand(x=[1, 2])`.
Separately, a teardown mapped with `expand_kwargs()` does not get the
teardown trigger rule:
```python
@teardown
def cleanup_mapped(x): ...
with DAG("teardown_expand_kwargs", schedule=None):
op = cleanup_mapped.expand_kwargs([{"x": 1}, {"x": 2}]).operator
print(op.trigger_rule) # TriggerRule.ALL_SUCCESS
```
### What you think should happen instead?
- A `@teardown` function can be called any number of times, directly or
through `.override()`, like any other TaskFlow task. Every resulting task gets
`all_done_setup_success`.
- A teardown mapped with `expand_kwargs()` gets `all_done_setup_success`, as
it does with `expand()`. With `all_success`, the teardown is skipped when an
upstream task fails, so the resources it should clean up are left behind.
Cause: `_TaskDecorator.__call__` and `expand()` in
`task-sdk/src/airflow/sdk/bases/decorator.py` write `trigger_rule` into the
decorator's own `kwargs`. The next call sees the stored `trigger_rule` as user
input and fails the "not configurable" check. `__call__` also pops
`on_failure_fail_dagrun` from those `kwargs`, so once the `ValueError` is
fixed, an override set through `.override()` would still be lost after the
first call. `expand_kwargs()` has no teardown handling.
### Operating System
Linux (official apache/airflow:3.3.1 image, Debian 12); also reproduced on
macOS.
### Deployment
None
### Apache Airflow Provider(s)
standard
### Versions of Apache Airflow Providers
Not Applicable
### Official Helm Chart version
Not Applicable
### Kubernetes Version
Not Applicable
### Helm Chart configuration
Not Applicable
### Docker Image customizations
Not Applicable
### Anything else?
_No response_
### Are you willing to submit PR?
- [x] Yes I am willing to submit a PR!
### Code of Conduct
- [x] I agree to follow this project's [Code of
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
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