### 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
"""Get DAG runs as calendar"""
        def _convert_to_date(session, column):
            """Convert column to date."""
            if session.bind.dialect.name == 'mssql':
                return column.cast(Date)
            else:
                return func.date(column)
        dag_id = request.args.get('dag_id')
        dag = current_app.dag_bag.get_dag(dag_id)
        dag_model = DagModel.get_dagmodel(dag_id)
        if not dag:
            flash(f'DAG "{dag_id}" seems to be missing from DagBag.', "error")
            return redirect(url_for('Airflow.index'))
        wwwutils.check_import_errors(dag.fileloc, session)
        root = request.args.get('root')
        if root:
            dag = dag.partial_subset(task_ids_or_regex=root, include_downstream=False, include_upstream=True)
        dag_states = (
            session.query(
                (_convert_to_date(session, DagRun.execution_date)).label('date'),
                DagRun.state,
                func.count('*').label('count'),
            )
            .filter(DagRun.dag_id == dag.dag_id)