### 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)

map_indexes = args.getlist("map_index", type=int)
        upstream = to_boolean(args.get("upstream"))
        downstream = to_boolean(args.get("downstream"))
        future = to_boolean(args.get("future"))
        past = to_boolean(args.get("past"))
        origin = origin or url_for("Airflow.index")
        dag = get_airflow_app().dag_bag.get_dag(dag_id)
        if not dag:
            msg = f"DAG {dag_id} not found"
            return redirect_or_json(origin, msg, status="error", status_code=404)
        try:
            task = dag.get_task(task_id)
        except airflow.exceptions.TaskNotFound:
            msg = f"Task {task_id} not found"
            return redirect_or_json(origin, msg, status="error", status_code=404)
        task.dag = dag
        if state not in (
            "success",
            "failed",
        ):
            msg = f"Invalid state {state}, must be either 'success' or 'failed'"
            return redirect_or_json(origin, msg, status="error", status_code=400)
        latest_execution_date = dag.get_latest_execution_date()
        if not latest_execution_date:
            msg = f"Cannot mark tasks as {state}, seem that dag {dag_id} has never run"
            return redirect_or_json(origin, msg, status="error", status_code=400)
        if map_indexes is None:
            tasks: list[Operator] | list[tuple[Operator, int]] = [task]
        else:
            tasks = [(task, map_index) for map_index in map_indexes]