vatsrahul1001 opened a new issue, #46580:
URL: https://github.com/apache/airflow/issues/46580
### Apache Airflow version
3.0.0a1
### If "Other Airflow 2 version" selected, which one?
_No response_
### What happened?
DAGRUN is failing with Dynamic Mapped task in the `upstream_failed` state
even though upstream task is in success state
**Error in schedule logs**
```
[2025-02-08T05:18:20.469+] {scheduler_job_runner.py:744} INFO - Received
executor event with state queued for task instance
TaskInstanceKey(dag_id='context_ref', task_id='a_list',
run_id='manual__2025-02-08T05:18:19.465557+00:00', try_number=1, map_index=-1)
[2025-02-08T05:18:20.479+] {scheduler_job_runner.py:776} INFO - Setting
external_id for to
e229edfa-f569-4e19-af4e-32f9a4c5b303
[2025-02-08T05:18:22.141+] {taskmap.py:148} ERROR - Cannot expand
'\x1b[1m\x1b[22m' for run
manual__2025-02-08T05:18:19.465557+00:00; missing upstream values: ['num']
[2025-02-08T05:18:22.165+] {scheduler_job_runner.py:744} INFO - Received
executor event with state success for task instance
TaskInstanceKey(dag_id='context_ref', task_id='a_list',
run_id='manual__2025-02-08T05:18:19.465557+00:00', try_number=1, map_index=-1)
```
### What you think should happen instead?
Dynamic mapped task DAG should execute fine as it used to be in AF2
### How to reproduce
Execute below DAG in with `3.0.0a2`
**DAG**
```
from airflow import DAG
from airflow.decorators import task
from datetime import datetime
@task
def a_list():
return [3, 6, 9]
@task
def ref_context(num, **context):
return num + context["ti"].map_index * 5
@task
def assert_sum(nums, expect):
print(nums)
print(f"expecting sum: {' + '.join(map(str,nums))} == {expect}")
print(sum(nums))
assert sum(nums) == expect
with DAG(
dag_id="context_ref",
start_date=datetime(1970, 1, 1),
schedule=None,
tags=["taskmap"]
) as dag:
assert_sum(ref_context.expand(num=a_list()), 33)
```
### Operating System
Linux
### Versions of Apache Airflow Providers
_No response_
### Deployment
Other
### Deployment details
_No response_
### Anything else?
_No response_
### Are you willing to submit PR?
- [ ] 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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