### 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)

run_id = None
                record = None
                def set_overall_state(record):
                    for state in wwwutils.priority:
                        if state in record["mapped_states"]:
                            record["state"] = state
                            break
                    if None in record["mapped_states"]:
                        
                        
                        record["mapped_states"]["no_status"] = record["mapped_states"].pop(None)
                for ti_summary in ti_summaries:
                    if run_id != ti_summary.run_id:
                        run_id = ti_summary.run_id
                        if record:
                            set_overall_state(record)
                            yield record
                        record = {
                            "task_id": ti_summary.task_id,
                            "run_id": run_id,
                            "start_date": ti_summary.start_date,
                            "end_date": ti_summary.end_date,
                            "mapped_states": {ti_summary.state: ti_summary.state_count},
                            "state": None,  
                        }
                        continue
                    record["start_date"] = min(