### Apache Airflow version

2.4.1

### What happened

When there are large number of dag files, lets say 10K and each takes sometime to parse,  dag_parser doesnt pick any newly created files till all 10k files are finished parsing

`if not self._file_path_queue:
                self.emit_metrics()
                self.prepare_file_path_queue()`

Above logic only adds new files to queue when queue is empty

### What you think should happen instead

Every loop of dag processor should pick new files and add into file for parsing queue

### How to reproduce

_No response_

### Operating System

All

### Versions of Apache Airflow Providers

_No response_

### Deployment

Docker-Compose

### 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)

self, mock_getmtime, mock_isfile, mock_find_path, mock_might_contain_dag, mock_zipfile
    ):
        """
        Test recently updated files are processed even if min_file_process_interval is not reached
        """
        freezed_base_time = timezone.datetime(2020, 1, 5, 0, 0, 0)
        initial_file_1_mtime = (freezed_base_time - timedelta(minutes=5)).timestamp()
        dag_files = ["file_1.py"]
        mock_getmtime.side_effect = [initial_file_1_mtime]
        mock_find_path.return_value = dag_files
        manager = DagFileProcessorManager(
            dag_directory="directory",
            max_runs=3,
            processor_timeout=timedelta(days=365),
            signal_conn=MagicMock(),
            dag_ids=[],
            pickle_dags=False,
            async_mode=True,