### 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)

"""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 = get_airflow_app().dag_bag.get_dag(dag_id, session=session)
        dag_model = DagModel.get_dagmodel(dag_id, session=session)
        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)
        wwwutils.check_dag_warnings(dag.dag_id, 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.max(DagRun.data_interval_start).label("data_interval_start"),
                func.max(DagRun.data_interval_end).label("data_interval_end"),
                func.count("*").label("count"),
            )