mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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85 lines
2.8 KiB
Python
85 lines
2.8 KiB
Python
"""
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# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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# This file is modified from https://github.com/vllm-project/vllm/blob/main/vllm/entrypoints/cli/serve.py
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import argparse
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import atexit
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import os
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import signal
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import subprocess
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import sys
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from fastdeploy.entrypoints.cli.types import CLISubcommand
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from fastdeploy.entrypoints.openai.utils import make_arg_parser
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from fastdeploy.utils import FlexibleArgumentParser
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class ServeSubcommand(CLISubcommand):
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"""The `serve` subcommand for the fastdeploy CLI."""
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name = "serve"
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@staticmethod
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def cmd(args: argparse.Namespace) -> None:
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env = os.environ.copy()
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cmd = [
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sys.executable,
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"-m",
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"fastdeploy.entrypoints.openai.api_server",
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*sys.argv[2:],
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]
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# 启动子进程
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proc = subprocess.Popen(cmd, env=env)
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print(f"Starting server (PID: {proc.pid})")
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# 定义清理函数
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def cleanup():
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"""终止子进程并确保资源释放"""
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if proc.poll() is None: # 检查子进程是否仍在运行
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print(f"\nTerminating child process (PID: {proc.pid})...")
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proc.terminate() # 发送终止信号
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# 注册退出时的清理函数
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atexit.register(cleanup)
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# 设置信号处理
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def signal_handler(signum, frame):
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cleanup()
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sys.exit(0)
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# 捕获 SIGINT (Ctrl+C) 和 SIGTERM
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signal.signal(signal.SIGINT, signal_handler)
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signal.signal(signal.SIGTERM, signal_handler)
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# 主进程阻塞等待子进程
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proc.wait()
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def subparser_init(self, subparsers: argparse._SubParsersAction) -> FlexibleArgumentParser:
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serve_parser = subparsers.add_parser(
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name=self.name,
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help="Start the FastDeploy OpenAI Compatible API server.",
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description="Start the FastDeploy OpenAI Compatible API server.",
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usage="fastdeploy serve [options]",
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)
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serve_parser = make_arg_parser(serve_parser)
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serve_parser.add_argument("--config", help="Read CLI options from a config file. Must be a YAML file")
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return serve_parser
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def cmd_init() -> list[CLISubcommand]:
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return [ServeSubcommand()]
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