RNHTTR opened a new issue, #33078:
URL: https://github.com/apache/airflow/issues/33078
### Apache Airflow version
2.6.3
### What happened
Consider the following DAG:
```python
from pendulum import datetime
from airflow.decorators import (
dag,
task,
)
from airflow.exceptions import AirflowSkipException
@dag(
schedule="@daily",
start_date=datetime(2023, 1, 1),
catchup=False,
default_args={
"retries": 2,
},
tags=["example"],
)
def trigger_rule_mapped_task_bug():
@task
def run_me():
return [1]
@task
def skip_me():
raise AirflowSkipException
@task(trigger_rule="none_failed_min_one_success")
def map_me(x, y):
print(x)
map_me.expand(x=run_me(), y=skip_me())
trigger_rule_mapped_task_bug()
```
The task `map_me` is marked as `upstream_failed` for both the `all_done` and
`none_failed_min_one_success` trigger rules.
### What you think should happen instead
I would expect `map_me` to execute for both `all_done` and
`none_failed_min_one_success` as the `trigger_rule`.
### How to reproduce
Use the above DAG to reproduce.
### Operating System
Debian GNU/Linux 11 (bullseye)
### Versions of Apache Airflow Providers
n/a
### Deployment
Astronomer
### Deployment details
LocalExecutor using Astro CLI
### 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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