def register_subcommand()

in src/autotrain/cli/run_image_regression.py [0:0]

• 54 lines of code
• 3 McCabe index (conditional complexity)

    def register_subcommand(parser: ArgumentParser):
        arg_list = get_field_info(ImageRegressionParams)
        arg_list = [
            {
                "arg": "--train",
                "help": "Command to train the model",
                "required": False,
                "action": "store_true",
            },
            {
                "arg": "--deploy",
                "help": "Command to deploy the model (limited availability)",
                "required": False,
                "action": "store_true",
            },
            {
                "arg": "--inference",
                "help": "Command to run inference (limited availability)",
                "required": False,
                "action": "store_true",
            },
            {
                "arg": "--backend",
                "help": "Backend",
                "required": False,
                "type": str,
                "default": "local",
            },
        ] + arg_list
        run_image_regression_parser = parser.add_parser(
            "image-regression", description="✨ Run AutoTrain Image Regression"
        )
        for arg in arg_list:
            names = [arg["arg"]] + arg.get("alias", [])
            if "action" in arg:
                run_image_regression_parser.add_argument(
                    *names,
                    dest=arg["arg"].replace("--", "").replace("-", "_"),
                    help=arg["help"],
                    required=arg.get("required", False),
                    action=arg.get("action"),
                    default=arg.get("default"),
                )
            else:
                run_image_regression_parser.add_argument(
                    *names,
                    dest=arg["arg"].replace("--", "").replace("-", "_"),
                    help=arg["help"],
                    required=arg.get("required", False),
                    type=arg.get("type"),
                    default=arg.get("default"),
                    choices=arg.get("choices"),
                )
        run_image_regression_parser.set_defaults(func=run_image_regression_command_factory)