### Apache Airflow version

2.4.1

### What happened

![image](https://user-images.githubusercontent.com/24224756/194797283-6c26ad63-d432-4c41-9f91-2dbc47417ec7.png)
when the sensor running, I can see the log above, but when I manual set the task state to failed or the task failed by other reason, I can't see log at here
![image](https://user-images.githubusercontent.com/24224756/194797633-0c7bf825-8e83-42af-8298-03491a26b7c9.png)
In other version airflow, like 2.3/2.2, this still happens

### What you think should happen instead

_No response_

### How to reproduce

_No response_

### Operating System

Ubuntu 20.04.4 LTS (Focal Fossa)

### Versions of Apache Airflow Providers

_No response_

### Deployment

Docker-Compose

### Deployment details

_No response_

### 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)

with create_session() as session:
            dag_run = ti.get_dagrun(session=session)
            template = dag_run.get_log_template(session=session).filename
        str_tpl, jinja_tpl = parse_template_string(template)
        if jinja_tpl:
            if hasattr(ti, "task"):
                context = ti.get_template_context()
            else:
                context = Context(ti=ti, ts=dag_run.logical_date.isoformat())
            context["try_number"] = try_number
            return render_template_to_string(jinja_tpl, context)
        elif str_tpl:
            try:
                dag = ti.task.dag
            except AttributeError:  
                data_interval = (dag_run.data_interval_start, dag_run.data_interval_end)
            else:
                if TYPE_CHECKING:
                    assert dag is not None
                data_interval = dag.get_run_data_interval(dag_run)
            if data_interval[0]:
                data_interval_start = data_interval[0].isoformat()
            else:
                data_interval_start = ""
            if data_interval[1]:
                data_interval_end = data_interval[1].isoformat()
            else:
                data_interval_end = ""