# SPDX-License-Identifier: Apache-2.0

import argparse

import uvloop

from vllm.entrypoints.cli.types import CLISubcommand
from vllm.entrypoints.openai.api_server import run_server
from vllm.entrypoints.openai.cli_args import (make_arg_parser,
                                              validate_parsed_serve_args)
from vllm.utils import FlexibleArgumentParser


class ServeSubcommand(CLISubcommand):
    """The `serve` subcommand for the vLLM CLI. """

    def __init__(self):
        self.name = "serve"
        super().__init__()

    @staticmethod
    def cmd(args: argparse.Namespace) -> None:
        # If model is specified in CLI (as positional arg), it takes precedence
        if hasattr(args, 'model_tag') and args.model_tag is not None:
            args.model = args.model_tag

        uvloop.run(run_server(args))

    def validate(self, args: argparse.Namespace) -> None:
        validate_parsed_serve_args(args)

    def subparser_init(
            self,
            subparsers: argparse._SubParsersAction) -> FlexibleArgumentParser:
        serve_parser = subparsers.add_parser(
            "serve",
            help="Start the vLLM OpenAI Compatible API server.",
            description="Start the vLLM OpenAI Compatible API server.",
            usage="vllm serve [model_tag] [options]")
        serve_parser.add_argument("model_tag",
                                  type=str,
                                  nargs='?',
                                  help="The model tag to serve "
                                  "(optional if specified in config)")
        serve_parser.add_argument(
            "--config",
            type=str,
            default='',
            required=False,
            help="Read CLI options from a config file."
            "Must be a YAML with the following options:"
            "https://docs.vllm.ai/en/latest/serving/openai_compatible_server.html#cli-reference"
        )

        return make_arg_parser(serve_parser)


def cmd_init() -> list[CLISubcommand]:
    return [ServeSubcommand()]
