### Apache Airflow version

2.2.1

### Operating System

Linux 5.4.149-73.259.amzn2.x86_64

### Versions of Apache Airflow Providers

default for 2.2.1

### Deployment

Other 3rd-party Helm chart

### Deployment details

aws eks using own-developed helm chart

### What happened

When trying to open log from gantt view - receiving an exception
```
  File "/home/airflow/.local/lib/python3.9/site-packages/pendulum/parsing/__init__.py", line 177, in _parse_common
    return date(year, month, day)
ValueError: year 0 is out of range
```

due to incorrect query parameter push: no value for `execution_date` pushed
```
/log?dag_id=report_generator_daily&task_id=check_quints_earnings&execution_date=
```

### What you expected to happen

Logs should be available

### How to reproduce

Open dag's `gantt` chart
click on task ribbon
click on `log`
observe an error

### 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)

airflow/www/views.py
"""Clears the state."""
        try:
            count = 0
            cleared_ti_count = 0
            dag_to_tis: Dict[DAG, List[TaskInstance]] = {}
            for dr in session.query(DagRun).filter(DagRun.id.in_([dagrun.id for dagrun in drs])).all():
                count += 1
                dag = current_app.dag_bag.get_dag(dr.dag_id)
                tis_to_clear = dag_to_tis.setdefault(dag, [])
                tis_to_clear += dr.get_task_instances()
            for dag, tis in dag_to_tis.items():
                cleared_ti_count += len(tis)
                models.clear_task_instances(tis, session, dag=dag)
            flash(f"{count} dag runs and {cleared_ti_count} task instances were cleared")
        except Exception:
            flash('Failed to clear state', 'error')
        return redirect(self.get_default_url())
class LogModelView(AirflowModelView):
    """View to show records from Log table"""
    route_base = '/log'
    datamodel = AirflowModelView.CustomSQLAInterface(Log)