### Apache Airflow version

2.4.2

### What happened

Create a DAG and set the schedule parameter using a CronTriggerTimeTable instance. Enable the DAG so that there is DAG run data. Try to access the Calendar View for the DAG. An ERR_EMPTY_RESPONSE error is displayed instead of the page.

The Calendar View is accessible for other DAGs  that are using the schedule_interval set to a cron string instead.

### What you think should happen instead

The Calendar View should have been displayed.

### How to reproduce

Create a DAG and set the schedule parameter to a CronTriggerTimeTable instance. Enable the DAG and allow some DAG runs to occur. Try to access the Calender View for the DAG.

### Operating System

Red Hat Enterprise Linux 8.6

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### Deployment details

Airflow 2.4.2 installed via pip with Python3.9 to venv using constraints.

### Anything else

_No response_

### Are you willing to submit PR?

- [X] 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)

"""Runs Task Instance."""
        dag_id = request.form.get("dag_id")
        task_id = request.form.get("task_id")
        dag_run_id = request.form.get("dag_run_id")
        map_index = request.args.get("map_index", -1, type=int)
        origin = get_safe_url(request.form.get("origin"))
        dag: DAG = get_airflow_app().dag_bag.get_dag(dag_id)
        task = dag.get_task(task_id)
        ignore_all_deps = request.form.get("ignore_all_deps") == "true"
        ignore_task_deps = request.form.get("ignore_task_deps") == "true"
        ignore_ti_state = request.form.get("ignore_ti_state") == "true"
        executor = ExecutorLoader.get_default_executor()
        if not executor.supports_ad_hoc_ti_run:
            msg = f"{executor.__class__.__name__} does not support ad hoc task runs"
            return redirect_or_json(origin, msg, "error", 400)
        dag_run = dag.get_dagrun(run_id=dag_run_id)
        ti = dag_run.get_task_instance(task_id=task.task_id, map_index=map_index)
        if not ti:
            msg = "Could not queue task instance for execution, task instance is missing"
            return redirect_or_json(origin, msg, "error", 400)
        ti.refresh_from_task(task)
        
        dep_context = DepContext(
            deps=RUNNING_DEPS,