Add help text for codegen and datasets CLI

servicex/app/codegen.py

@@ -36,6 +36,12 @@
 codegen_app = typer.Typer(name="codegen", no_args_is_help=True)
 
 
+@codegen_app.callback()
+def codegen() -> None:
+    """Sub-commands for interacting with available backend code generators."""
+    pass
+
+
 @codegen_app.command(no_args_is_help=False)
 def list(
     backend: Optional[str] = backend_cli_option,

servicex/app/datasets.py

@@ -38,6 +38,14 @@
 from rich.table import Table
 
 datasets_app = typer.Typer(name="datasets", no_args_is_help=True)
+
+
+@datasets_app.callback()
+def datasets() -> None:
+    """Sub-commands for interacting with the list of looked-up datasets on the server."""
+    pass
+
+
 did_finder_opt = typer.Option(
     None,
     help="Filter datasets by DID finder. Some useful values are 'rucio' or 'user'",
@@ -60,7 +68,9 @@ def list(
     show_deleted: Optional[bool] = show_deleted_opt,
 ):
     """
-    List the datasets. Use fancy formatting if printing to a terminal.
+    List the datasets on the server.
+
+    Use fancy formatting if printing to a terminal.
     Output as plain text if redirected.
     """
     sx = ServiceXClient(backend=backend, config_path=config_path)
@@ -104,7 +114,11 @@ def get(
     dataset_id: int = dataset_id_get_arg,
 ):
     """
-    Get the details of a dataset. Output as a pretty, nested table if printing to a terminal.
+    List the files in a dataset.
+
+    Known replicas on the GRID are listed.
+
+    Output as a pretty, nested table if printing to a terminal.
     Output as json if redirected.
     """
     sx = ServiceXClient(backend=backend, config_path=config_path)
@@ -147,6 +161,12 @@ def delete(
     config_path: Optional[str] = config_file_option,
     dataset_id: int = dataset_id_delete_arg,
 ):
+    """
+    Remove a dataset from the ServiceX.
+
+    The next time it is queried, it will have to be looked up again. This command should only be
+    used when debugging.
+    """
     sx = ServiceXClient(backend=backend, config_path=config_path)
     result = sx.delete_dataset(dataset_id)
     if result: