### 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)

"""
    Return a dict of the task quantity, grouped by dag id and task status.
    :param qry: The data in the format (<dag id>, <task state>, <is dag running>, <task count>),
        ordered by <dag id> and <is dag running>
    """
    data = {}
    last_dag_id = None
    has_running_dags = False
    for dag_id, state, is_dag_running, count in qry:
        if last_dag_id != dag_id:
            last_dag_id = dag_id
            has_running_dags = False
        elif not is_dag_running and has_running_dags:
            continue
        if is_dag_running:
            has_running_dags = True
        if dag_id not in data:
            data[dag_id] = {}
        data[dag_id][state] = count
    return data
def redirect_or_json(origin, msg, status="", status_code=200):