## Problem
The helm chart does not implement a way for SequentialExecutor Airflow 2 deployments to serve logs; without using elasticsearch.

## Details
Prior implementations utilize the CLI function `serve_logs`. This function has been deprecated as of v2.

In `airflow/templates/scheduler/scheduler-deployment.yaml`:
```yaml
    181 {{- if and $local (not $elasticsearch) }}
    182         # Start the sidecar log server if we're in local mode and
    183         # we don't have elasticsearch enabled.
    184         - name: scheduler-logs
    185           image: {{ template "airflow_image" . }}
    186           imagePullPolicy: {{ .Values.images.airflow.pullPolicy }}
    187           args: ["serve_logs"]
```

This will cause the helm deployment to break; and the scheduler will perpetually fail to start the `scheduler-logs` container inside of the scheduler deployment.

Snippet from airflow [upgrade guide](https://airflow.apache.org/docs/apache-airflow/stable/upgrading-to-2.html).

```
Remove serve_logs command from CLI

The serve_logs command has been deleted. This command should be run only by internal application mechanisms and there is no need for it to be accessible from the CLI interface.
```

## Partial Solution
Not sure how the non-elastic method for serving logs going forward.

Astronomer branches yaml by:
```yaml
{{- if semverCompare ">=1.10.12" .Values.airflowVersion }}
...
{{- else }}
...
{{- end }}
```
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.