### 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
return redirect(url_for('Airflow.index'))
        xcomlist = (
            session.query(XCom)
            .filter(XCom.dag_id == dag_id, XCom.task_id == task_id, XCom.execution_date == dttm)
            .all()
        )
        attributes = []
        for xcom in xcomlist:
            if not xcom.key.startswith('_'):
                attributes.append((xcom.key, xcom.value))
        title = "XCom"
        return self.render_template(
            'airflow/xcom.html',
            attributes=attributes,
            task_id=task_id,
            execution_date=execution_date,
            form=form,
            root=root,
            dag=dag,
            title=title,
        )
    @expose('/run', methods=['POST'])
    @auth.has_access(
        [
            (permissions.ACTION_CAN_EDIT, permissions.RESOURCE_DAG),
            (permissions.ACTION_CAN_CREATE, permissions.RESOURCE_TASK_INSTANCE),
        ]
    )
    @action_logging
    def run(self):