pierrejeambrun commented on issue #47274:
URL: https://github.com/apache/airflow/issues/47274#issuecomment-2704777253
@sunank200 I think I found a way to consistently replicate.
<details>
<summary>Dag Used</summary>
### Dag
```python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
"""Example DAG demonstrating the usage of the XComArgs."""
from __future__ import annotations
import logging
import pendulum
from airflow.decorators import task
from airflow.models.dag import DAG
log = logging.getLogger(__name__)
@task
def generate_value() -> int:
"""Empty function."""
return 1
@task
def print_value(value, ts=None):
"""Empty function."""
log.info("The knights of Ni say: %s (at %s)", value, ts)
with DAG(
dag_id="xcom",
start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
catchup=False,
schedule=None,
tags=["example"],
) as dag:
print_value(print_value(generate_value()))
```
</details>
Start a fresh breeze setup with:
```
breeze start-airflow --python 3.9 --backend postgres --load-example-dags
--executor CeleryExecutor --dev-mode --db-reset
```
Go to the UI and trigger the `xcom` dag manually while also unpausing the
dag, this should create only 1 dag run.
Wait for the run to complete and then try to clear any task via the UI, this
will trigger the `clear` call and raise the error 500.
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