### Apache Airflow version

2.2.0b2 (beta snapshot)

### Operating System

ubuntu 20.04

### Versions of Apache Airflow Providers

n/a

### Deployment

Virtualenv installation

### Deployment details

pip install /path/to/airflow/src

### What happened

Given any DAG initialized with: `schedule_interval=None`

Run `airflow dags test mydagname $(date +%Y-%m-%d)` and get an error:

```
INFO - No run dates were found for the given dates and dag interval.
```

This behavior changed in https://github.com/apache/airflow/pull/15397, it used to trigger a backfill dagrun at the given date.

### What you expected to happen

I expected a backfill dagrun with the given date, regardless of whether it fit into the `schedule_interval`.

If AIP-39 made that an unrealistic expectation, then I'd hope for some way to define unscheduled dags which can still be tested from the command line (which, so far as I know, is the fastest way to iterate on a DAG.).

As it is, I keep changing `schedule_interval` back and forth depending on whether I want to iterate via `astro dev start` (which tolerates `None` but does superfluous work if the dag is scheduled) or via `airflow dags test ...` (which doesn't tolerate `None`).

### How to reproduce

Initialize a DAG with: `schedule_interval=None` and run it via `airflow dags test mydagname $(date +%Y-%m-%d)`

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] 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)

airflow/cli/commands/dag_command.py
session.query(func.max(DagRun.execution_date).label("max_date"))
            .filter(DagRun.dag_id == dag.dag_id)
            .subquery()
        )
        max_date_run: Optional[DagRun] = (
            session.query(DagRun)
            .filter(DagRun.dag_id == dag.dag_id, DagRun.execution_date == max_date_subq.c.max_date)
            .one_or_none()
        )
        if max_date_run is None:
            print("[WARN] Only applicable when there is execution record found for the DAG.", file=sys.stderr)
            print(None)
            return
    next_info = dag.next_dagrun_info(dag.get_run_data_interval(max_date_run), restricted=False)
    if next_info is None:
        print(
            "[WARN] No following schedule can be found. "
            "This DAG may have schedule interval '@once' or `None`.",
            file=sys.stderr,
        )
        print(None)
        return
    print(next_info.logical_date.isoformat())
    for _ in range(1, args.num_executions):
        next_info = dag.next_dagrun_info(next_info.data_interval, restricted=False)
        print(next_info.logical_date.isoformat())
@cli_utils.action_logging
@suppress_logs_and_warning
def dag_list_dags(args):
    """Displays dags with or without stats at the command line"""