### Apache Airflow version

2.7.0rc2

### What happened

In the Airflow UI, currently, the DAG Processor is visible in the Cluster Activity page even if there is no stand-alone dag processor. 

### What you think should happen instead

It should be hidden if there is no stand-alone dag processor.

### How to reproduce

Run Airflow 2.7 

### Operating System

Mac OS

### Versions of Apache Airflow Providers

Airflow > 2.7

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### 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,
                            "queued_dttm": ti_summary.queued_dttm,
                            "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["queued_dttm"] = min(