### Apache Airflow version

2.2.2

### What happened

Current time 16:54 UTC
Execution Schedule: * * * * *
Last Run: 16:19 UTC
DAG Paused
Catchup=False

`airflow dags next-execution sample_dag`
returns
```
[INFO] Please be reminded this DAG is PAUSED now.
2022-03-22T16:20:00+00:00
```

### What you think should happen instead

I would expect
```
[INFO] Please be reminded this DAG is PAUSED now.
2022-03-22T16:53:00+00:00
```
To be returned since when you unpause the DAG that is the next executed DAG

### How to reproduce

Create a simple sample dag with a schedule of * * * * * and pause with catchup=False and wait a few minutes, then run 
`airflow dags next-execution sample_dag`

### Operating System

Debian

### Versions of Apache Airflow Providers

Airflow 2.2.2

### Deployment

Astronomer

### Deployment details

_No response_

### 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)

filename_without_ext, _, ext = filename.rpartition(".")
    dot.render(filename=filename_without_ext, format=ext, cleanup=True)
    print(f"File {filename} saved")
@cli_utils.action_cli
@provide_session
def dag_state(args, session=NEW_SESSION):
    """
    Returns the state (and conf if exists) of a DagRun at the command line.
    >>> airflow dags state tutorial 2015-01-01T00:00:00.000000
    running
    >>> airflow dags state a_dag_with_conf_passed 2015-01-01T00:00:00.000000
    failed, {"name": "bob", "age": "42"}
    """
    dag = DagModel.get_dagmodel(args.dag_id, session=session)
    if not dag:
        raise SystemExit(f"DAG: {args.dag_id} does not exist in 'dag' table")
    dr = session.query(DagRun).filter_by(dag_id=args.dag_id, execution_date=args.execution_date).one_or_none()
    out = dr.state if dr else None
    conf_out = ""
    if out and dr.conf:
        conf_out = ", " + json.dumps(dr.conf)
    print(str(out) + conf_out)
@cli_utils.action_cli
def dag_next_execution(args):