### 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
)
        if dag_run is None:
            flash(f"No DAG run found for DAG id {dag_id} and run id {run_id}", "error")
            return redirect(request.referrer or url_for('Airflow.index'))
        else:
            try:
                duration = dag_run.end_date - dag_run.start_date
            except TypeError:
                
                duration = None
            dagrun_attributes = [
                ("Logical date", wwwutils.datetime_html(dag_run.execution_date)),
                ("Queued at", wwwutils.datetime_html(dag_run.queued_at)),
                ("Start date", wwwutils.datetime_html(dag_run.start_date)),
                ("End date", wwwutils.datetime_html(dag_run.end_date)),
                ("Duration", str(duration)),
                ("Current state", wwwutils.state_token(dag_run.state)),
                ("Run type", dag_run.run_type),
                ("Externally triggered", dag_run.external_trigger),
                ("Config", wwwutils.json_render(dag_run.conf, lexers.JsonLexer)),
            ]
            return self.render_template(
                "airflow/dagrun_details.html",
                dag=dag,
                dag_id=dag_id,
                run_id=run_id,
                execution_date=dag_run.execution_date.isoformat(),
                dagrun_attributes=dagrun_attributes,
            )
    def _mark_task_instance_state(