mini-scheduler raises AttributeError: 'NoneType' object has no attribute 'keys'

[jochenott]

Apache Airflow version

2.3.2 (latest released)

What happened

The mini-scheduler run after a task finishes sometimes fails with an error "AttributeError: 'NoneType' object has no attribute 'keys'"; see full traceback below.

What you think should happen instead

No response

How to reproduce

The minimal reproducing example I could find is this:

import pendulum
from airflow.models import BaseOperator
from airflow.utils.task_group import TaskGroup
from airflow.decorators import task
from airflow import DAG

@task
def task0():
    pass

class Op0(BaseOperator):
    template_fields = ["some_input"]

    def __init__(self, some_input, **kwargs):
        super().__init__(**kwargs)
        self.some_input = some_input

if __name__ == "__main__":
    with DAG("dag0", start_date=pendulum.now()) as dag:
        with TaskGroup(group_id="tg1"):
            Op0(task_id="task1", some_input=task0())
    dag.partial_subset("tg1.task1")

Running this script with airflow 2.3.2 produces this traceback:

Traceback (most recent call last):
  File "/app/airflow-bug-minimal.py", line 22, in <module>
    dag.partial_subset("tg1.task1")
  File "/venv/lib/python3.10/site-packages/airflow/models/dag.py", line 2013, in partial_subset
    dag.task_dict = {
  File "/venv/lib/python3.10/site-packages/airflow/models/dag.py", line 2014, in <dictcomp>
    t.task_id: _deepcopy_task(t)
  File "/venv/lib/python3.10/site-packages/airflow/models/dag.py", line 2011, in _deepcopy_task
    return copy.deepcopy(t, memo)
  File "/usr/local/lib/python3.10/copy.py", line 153, in deepcopy
    y = copier(memo)
  File "/venv/lib/python3.10/site-packages/airflow/models/baseoperator.py", line 1156, in __deepcopy__
    setattr(result, k, copy.deepcopy(v, memo))
  File "/venv/lib/python3.10/site-packages/airflow/models/baseoperator.py", line 1000, in __setattr__
    self.set_xcomargs_dependencies()
  File "/venv/lib/python3.10/site-packages/airflow/models/baseoperator.py", line 1107, in set_xcomargs_dependencies
    XComArg.apply_upstream_relationship(self, arg)
  File "/venv/lib/python3.10/site-packages/airflow/models/xcom_arg.py", line 186, in apply_upstream_relationship
    op.set_upstream(ref.operator)
  File "/venv/lib/python3.10/site-packages/airflow/models/taskmixin.py", line 241, in set_upstream
    self._set_relatives(task_or_task_list, upstream=True, edge_modifier=edge_modifier)
  File "/venv/lib/python3.10/site-packages/airflow/models/taskmixin.py", line 185, in _set_relatives
    dags: Set["DAG"] = {task.dag for task in [*self.roots, *task_list] if task.has_dag() and task.dag}
  File "/venv/lib/python3.10/site-packages/airflow/models/taskmixin.py", line 185, in <setcomp>
    dags: Set["DAG"] = {task.dag for task in [*self.roots, *task_list] if task.has_dag() and task.dag}
  File "/venv/lib/python3.10/site-packages/airflow/models/dag.py", line 508, in __hash__
    val = tuple(self.task_dict.keys())
AttributeError: 'NoneType' object has no attribute 'keys'

Note that the call to dag.partial_subset usually happens in the mini-scheduler: https://github.com/apache/airflow/blob/2.3.2/airflow/jobs/local_task_job.py#L253

Operating System

Linux (Debian 9)

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

[boring-cyborg[bot]]

Thanks for opening your first issue here! Be sure to follow the issue template!

[potiuk]

Isn't that the same class of problem as with #23838 @pingzh @ashb @uranusjr ?

[uranusjr]

I don’t think it’s the same. The final error looks similar, but this one is triggered by task_dict, which is on the DAG object, not Operator. The DAG structure is pretty stable and mostly unchanged for a long while afaik, so this is intriging.

[c-thiel]

We are having the same issue as well with the KubernetesExecutor:

Traceback (most recent call last):
  File "/home/airflow/.local/bin/airflow", line 8, in <module>
    sys.exit(main())
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/__main__.py", line 38, in main
    args.func(args)
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/cli/cli_parser.py", line 51, in command
    return func(*args, **kwargs)
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/utils/cli.py", line 99, in wrapper
    return f(*args, **kwargs)
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/cli/commands/task_command.py", line 376, in task_run
    _run_task_by_selected_method(args, dag, ti)
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/cli/commands/task_command.py", line 182, in _run_task_by_selected_method
    _run_task_by_local_task_job(args, ti)
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/cli/commands/task_command.py", line 240, in _run_task_by_local_task_job
    run_job.run()
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/jobs/base_job.py", line 244, in run
    self._execute()
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/jobs/local_task_job.py", line 133, in _execute
    self.handle_task_exit(return_code)
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/jobs/local_task_job.py", line 171, in handle_task_exit
    self._run_mini_scheduler_on_child_tasks()
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/utils/session.py", line 71, in wrapper
    return func(*args, session=session, **kwargs)
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/jobs/local_task_job.py", line 253, in _run_mini_scheduler_on_child_tasks
    partial_dag = task.dag.partial_subset(
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/models/dag.py", line 2013, in partial_subset
    dag.task_dict = {
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/models/dag.py", line 2014, in <dictcomp>
    t.task_id: _deepcopy_task(t)
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/models/dag.py", line 2011, in _deepcopy_task
    return copy.deepcopy(t, memo)
  File "/usr/local/lib/python3.9/copy.py", line 153, in deepcopy
    y = copier(memo)
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/models/baseoperator.py", line 1156, in __deepcopy__
    setattr(result, k, copy.deepcopy(v, memo))
  File "/usr/local/lib/python3.9/copy.py", line 146, in deepcopy
    y = copier(x, memo)
  File "/usr/local/lib/python3.9/copy.py", line 230, in _deepcopy_dict
    y[deepcopy(key, memo)] = deepcopy(value, memo)
  File "/usr/local/lib/python3.9/copy.py", line 146, in deepcopy
    y = copier(x, memo)
  File "/usr/local/lib/python3.9/copy.py", line 230, in _deepcopy_dict
    y[deepcopy(key, memo)] = deepcopy(value, memo)
  File "/usr/local/lib/python3.9/copy.py", line 172, in deepcopy
    y = _reconstruct(x, memo, *rv)
  File "/usr/local/lib/python3.9/copy.py", line 270, in _reconstruct
    state = deepcopy(state, memo)
  File "/usr/local/lib/python3.9/copy.py", line 146, in deepcopy
    y = copier(x, memo)
  File "/usr/local/lib/python3.9/copy.py", line 230, in _deepcopy_dict
    y[deepcopy(key, memo)] = deepcopy(value, memo)
  File "/usr/local/lib/python3.9/copy.py", line 153, in deepcopy
    y = copier(memo)
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/models/baseoperator.py", line 1156, in __deepcopy__
    setattr(result, k, copy.deepcopy(v, memo))
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/models/baseoperator.py", line 1000, in __setattr__
    self.set_xcomargs_dependencies()
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/models/baseoperator.py", line 1107, in set_xcomargs_dependencies
    XComArg.apply_upstream_relationship(self, arg)
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/models/xcom_arg.py", line 186, in apply_upstream_relationship
    op.set_upstream(ref.operator)
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/models/taskmixin.py", line 241, in set_upstream
    self._set_relatives(task_or_task_list, upstream=True, edge_modifier=edge_modifier)
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/models/taskmixin.py", line 185, in _set_relatives
    dags: Set["DAG"] = {task.dag for task in [*self.roots, *task_list] if task.has_dag() and task.dag}
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/models/taskmixin.py", line 185, in <setcomp>
    dags: Set["DAG"] = {task.dag for task in [*self.roots, *task_list] if task.has_dag() and task.dag}
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/models/dag.py", line 508, in __hash__
    val = tuple(self.task_dict.keys())
AttributeError: 'NoneType' object has no attribute 'keys'

Note that we have dag.partial_subset here as well.

As this is no longer only affecting the Mini-Scheduler (if I am right and the issue is related), is this somehting we should schedule for 2.3.X instead of 2.4?

[uranusjr]

Thinking about it, this is likely related to AIP-45 in the same way it affected task mapping. Now that the mini-scheduler runs against serialised DAGs (instead of actual DAGs from Python code), something in the serialisation-copy-etc. chain likely went wrong and populated task_dict incorrectly.

[ashb]

I've just run a git bisect, and unsurprisingly the issue at fault was ##19965 (which was in 2.3.0)

[ayotomiwasalau]

Hello, what do I do to solve this error "AttributeError: 'NoneType' object has no attribute 'keys'"? I use Airflow 2.3.0