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**Description**
- The `airflow serve_logs` command has been removed from the CLI as of 2.0.0
- When using `CeleryExecutor`, the `airflow celery worker` command runs the `serve_logs` process in the background.
- We should do the same with `airflow scheduler` command when using `LocalExecutor` or `SequentialExecutor`
 
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**Use case / motivation**
- This will allow for viewing task logs in the UI when using `LocalExecutor` or `SequentialExecutor` without elasticsearch configured.

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**Are you willing to submit a PR?**
Yes. Working with @dimberman .

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**Related Issues**
- https://github.com/apache/airflow/issues/14222
- https://github.com/apache/airflow/issues/13331

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airflow/cli/cli_parser.py
"""Class to keep information about command line argument"""
    
    def __init__(
        self,
        flags=_UNSET,
        help=_UNSET,
        action=_UNSET,
        default=_UNSET,
        nargs=_UNSET,
        type=_UNSET,
        choices=_UNSET,
        required=_UNSET,
        metavar=_UNSET,
        dest=_UNSET,
    ):
        self.flags = flags
        self.kwargs = {}
        for k, v in locals().items():
            if v is _UNSET:
                continue
            if k in ("self", "flags"):
                continue
            self.kwargs[k] = v
    
    def add_to_parser(self, parser: argparse.ArgumentParser):
        """Add this argument to an ArgumentParser"""
        parser.add_argument(*self.flags, **self.kwargs)
def positive_int(*, allow_zero):