### Apache Airflow version

main (development)

### What happened

When dag processor starts with a sub directory to process then the import errors are recorded with that path. So when there is processor for airflow-dag-processor-0 folder in order to remove import errors it lists all files under airflow-dag-processor-0 folder and deletes those not present. This becomes an issue when there is airflow-dag-processor-1 that records import errors whose files won't be part of airflow-dag-processor-0 folder. 

### What you think should happen instead

The fix would be to have processor_subdir stored in ImportError table so that during querying we only look at import errors relevant to the dag processor and don't delete other items. A fix similar to https://github.com/apache/airflow/pull/33357 needs to be applied for import errors as well.

### How to reproduce

1. create a dag file with import error at `~/airflow/dags/airflow-dag-processor-0/sample_sleep.py` . Start a dag processor with -S to process "~/airflow/dags/airflow-dag-processor-0/" . Import error should be present.
2. create a dag file with import error at `~/airflow/dags/airflow-dag-processor-1/sample_sleep.py` . Start a dag processor with -S to process "~/airflow/dags/airflow-dag-processor-1/". Import error for airflow-dag-processor-0 is deleted.
3. 

```python
from datetime import datetime, timedelta

from airflow import DAG
from airflow.decorators import task

from datetime import timedelta, invalid


with DAG(
    dag_id="task_duration",
    start_date=datetime(2023, 1, 1),
    catchup=True,
    schedule_interval="@daily",
) as dag:

    @task
    def sleeper():
        pass

    sleeper()
```

### Operating System

Ubuntu

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### 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)

"""
        Configure the context to have logging.logging_config_class set to a fake logging
        class path, thus when reloading logging module the airflow.processor_manager
        logger should not be configured.
        """
        with settings_context(SETTINGS_FILE_VALID):
            
            
            test_dag_path = TEST_DAG_FOLDER / "test_scheduler_dags.py"
            async_mode = "sqlite" not in conf.get("database", "sql_alchemy_conn")
            log_file_loc = conf.get("logging", "DAG_PROCESSOR_MANAGER_LOG_LOCATION")
            with contextlib.suppress(OSError):
                os.remove(log_file_loc)
            
            processor_agent = DagFileProcessorAgent(
                test_dag_path, 0, timedelta(days=365), [], False, async_mode
            )
            processor_agent.start()
            if not async_mode:
                processor_agent.run_single_parsing_loop()
            processor_agent._process.join()
            
            
            assert not os.path.isfile(log_file_loc)
    @conf_vars({("core", "load_examples"): "False"})
    def test_parse_once(self):