### Apache Airflow version

2.5.1

### What happened

/calendar page give a problem, here is the capture



![屏幕截图 2023-01-30 093116](https://user-images.githubusercontent.com/19165258/215369479-9fc7de5c-f190-460c-9cf7-9ab27d8ac355.png)


### What you think should happen instead

_No response_

### How to reproduce

_No response_

### Operating System

Ubuntu 22.04.1 LTS

### Versions of Apache Airflow Providers

Distributor ID: Ubuntu
Description:    Ubuntu 22.04.1 LTS
Release:        22.04
Codename:       jammy

### Deployment

Other

### Deployment details


Distributor ID: Ubuntu
Description:    Ubuntu 22.04.1 LTS
Release:        22.04
Codename:       jammy

### 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)

task_id = "runme_0"
    session.query(TaskInstance).filter(TaskInstance.task_id == task_id).update(
        {"state": State.SCHEDULED, "queued_dttm": None}
    )
    session.commit()
    assert session.query(TaskInstance.queued_dttm).filter(TaskInstance.task_id == task_id).all() == [(None,)]
    form = dict(
        task_id=task_id,
        dag_id="example_bash_operator",
        ignore_all_deps="true",
        dag_run_id=DEFAULT_DAGRUN,
        origin="/home",
    )
    now = timezone.utcnow()
    time_machine.move_to(now, tick=False)
    resp = admin_client.post("run", data=form, follow_redirects=True)
    assert resp.status_code == 200
    assert session.query(TaskInstance.queued_dttm).filter(TaskInstance.task_id == task_id).scalar() == now
@pytest.mark.parametrize("state", QUEUEABLE_STATES)
@unittest.mock.patch(
    "airflow.executors.executor_loader.ExecutorLoader.get_default_executor",
    return_value=CeleryExecutor(),
)
def test_run_with_not_runnable_states(_, admin_client, session, state):