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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
cmd = command._asdict()
    cmd['args'] = (arg for arg in command.args if arg is not ARG_DAG_ID)
    return ActionCommand(**cmd)
dag_cli_commands: List[CLICommand] = [
    GroupCommand(
        name='dags',
        help='Manage DAGs',
        subcommands=[
            _remove_dag_id_opt(sp)
            for sp in DAGS_COMMANDS
            if sp.name in ['backfill', 'list-runs', 'pause', 'unpause']
        ],
    ),
    GroupCommand(
        name='tasks',
        help='Manage tasks',
        subcommands=[_remove_dag_id_opt(sp) for sp in TASKS_COMMANDS if sp.name in ['list', 'test', 'run']],
    ),
]
DAG_CLI_DICT: Dict[str, CLICommand] = {sp.name: sp for sp in dag_cli_commands}
class AirflowHelpFormatter(argparse.HelpFormatter):
    """
    Custom help formatter to display help message.
    It displays simple commands and groups of commands in separate sections.