Meehai opened a new issue, #42931:
URL: https://github.com/apache/airflow/issues/42931
### Apache Airflow version
Other Airflow 2 version (please specify below)
### If "Other Airflow 2 version" selected, which one?
2.5.3
### What happened?
Is this the intended behaviour? It seems that airflow clones the task group
object which is different from regular python semantic, leading to potentially
hidden bugs. I got bitten by it and spent a good few hours before realizing. I
can try newer airflow versions too, if requested.
```python
class RunnerTaskGroup(TaskGroup):
def __init__(self...):
super().__init__()
self.skipped_because_not_trained = True
@task(task_group=self)
def some_task():
if random.random() < 0.5:
self.skipped_because_not_trained = False
print(self, id(self))
# <RunnerTaskGroup object at 0x7f7a2d3c5be0> 140162721668064 <- see
object address
(
some_task
)
.... in main dag .....
with DAG(dag_id=....):
def update_inference_table_label(_groups):
for group in _groups:
print(group, id(group), group.skipped_because_not_trained)
# <RunnerTaskGroup object at 0x7f7a2d3cbb50> 140162721692496 <- OTHER
OBJECT
# group.skipped_because_not_trained=True <- always TRUE
affinities_groups = []
for affinity in customer.
affn_runner_tg = RunnerTaskGroup()
affinities_group.append(affn_runner_tg)
(
affinities_groups >>
update_inference_table_label(affinities_groups)
)
```
### What you think should happen instead?
_No response_
### How to reproduce
run the code above
### Operating System
Ubuntu 22.04.3 LTS
### Versions of Apache Airflow Providers
_No response_
### Deployment
Docker-Compose
### 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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