Files
hao-ai-lab-FastVideo/fastvideo/entrypoints/cli/serve.py
T

116 lines
3.7 KiB
Python

# SPDX-License-Identifier: Apache-2.0
# adapted from vllm: https://github.com/vllm-project/vllm/blob/v0.7.3/vllm/entrypoints/cli/serve.py
import argparse
from typing import cast
from fastvideo.entrypoints.cli.cli_types import CLISubcommand
from fastvideo.fastvideo_args import FastVideoArgs
from fastvideo.logger import init_logger
from fastvideo.utils import FlexibleArgumentParser
logger = init_logger(__name__)
class ServeSubcommand(CLISubcommand):
"""Starts an OpenAI-compatible API server."""
def __init__(self) -> None:
self.name = "serve"
super().__init__()
def cmd(self, args: argparse.Namespace) -> None:
excluded_args = {
"subparser",
"config",
"dispatch_function",
"host",
"port",
"output_dir",
}
provided: set[str] = getattr(args, '_provided', set())
cli_kwargs = {}
for k, v in vars(args).items():
if k in excluded_args:
continue
if k == '_provided':
continue
if k in provided and v is not None:
cli_kwargs[k] = v
if 'model_path' not in cli_kwargs and args.model_path is not None:
cli_kwargs['model_path'] = args.model_path
if not cli_kwargs.get('model_path'):
raise ValueError("model_path must be provided via --model-path")
from fastvideo.entrypoints.openai.api_server import (
DEFAULT_HOST,
DEFAULT_OUTPUT_DIR,
DEFAULT_PORT,
run_server,
)
host = getattr(args, "host", DEFAULT_HOST)
port = getattr(args, "port", DEFAULT_PORT)
output_dir = getattr(args, "output_dir", DEFAULT_OUTPUT_DIR)
logger.info("CLI serve args: %s", cli_kwargs)
logger.info("Server will listen on %s:%d", host, port)
fastvideo_args = FastVideoArgs.from_kwargs(**cli_kwargs)
run_server(fastvideo_args, host=host, port=port, output_dir=output_dir)
def validate(self, args: argparse.Namespace) -> None:
if args.num_gpus is not None and args.num_gpus <= 0:
raise ValueError("Number of gpus must be positive")
def subparser_init(self, subparsers: argparse._SubParsersAction) -> FlexibleArgumentParser:
from fastvideo.entrypoints.openai.api_server import (
DEFAULT_HOST,
DEFAULT_OUTPUT_DIR,
DEFAULT_PORT,
)
serve_parser = subparsers.add_parser(
"serve",
help="Start an OpenAI-compatible HTTP server",
usage=("fastvideo serve --model-path MODEL_PATH_OR_ID "
"[--host HOST] [--port PORT] [OPTIONS]"),
)
serve_parser.add_argument(
"--host",
type=str,
default=DEFAULT_HOST,
help=f"Host to bind the server to (default: {DEFAULT_HOST})",
)
serve_parser.add_argument(
"--port",
type=int,
default=DEFAULT_PORT,
help=f"Port to listen on (default: {DEFAULT_PORT})",
)
serve_parser.add_argument(
"--output-dir",
type=str,
default=DEFAULT_OUTPUT_DIR,
help=("Directory for generated outputs "
f"(default: {DEFAULT_OUTPUT_DIR})"),
)
serve_parser.add_argument(
"--config",
type=str,
default="",
required=False,
help="Read CLI options from a config JSON or YAML file.",
)
serve_parser = FastVideoArgs.add_cli_args(serve_parser)
return cast(FlexibleArgumentParser, serve_parser)
def cmd_init() -> list[CLISubcommand]:
return [ServeSubcommand()]