**Reproduce on main:**
- Run a DAG
- Rename the DAG
- Wait for dag file processor to remove the deleted DAG and add the new one. (Old Dag should not appear on the home page anymore)
- Go to the Browse DAGRUN page.
- Click on a DagRun of the deleted DAG, as if you want to see the 'details/grid' of that old dag run

More info and screenshots here:
https://github.com/notifications#discussioncomment-6898570

![image](https://github.com/apache/airflow/assets/14861206/7af81643-6278-4d90-a20f-6aa7b259ce59)



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.execute(
            select(
                _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"),
            )
            .where(DagRun.dag_id == dag.dag_id)
            .group_by(_convert_to_date(session, DagRun.execution_date), DagRun.state)
            .order_by(_convert_to_date(session, DagRun.execution_date).asc())
        ).all()
        data_dag_states = [
            {
                
                
                "date": dr.date if isinstance(dr.date, str) else dr.date.isoformat(),
                "state": dr.state,
                "count": dr.count,
            }
            for dr in dag_states
        ]
        if dag_states and dag_states[-1].data_interval_start and dag_states[-1].data_interval_end:
            last_automated_data_interval = DataInterval(