Files
FastDeploy/fastdeploy/entrypoints/openai/multi_api_server.py
Yonghua Li 0c8c6369ed [Feature] [PD Disaggregation] simplify configuration for pd-disaggregated deployment, and refactor post-init and usage for all ports (#5415)
* [feat] simplify configuration for pd-disaggregated deployment, and refactor post-init and usage for all ports

* [fix] fix some bugs

* [fix] fix rdma port for cache manager/messager

* [fix] temporarily cancel port availability check to see if it can pass ci test

* [feat] simplify args for multi api server

* [fix] fix dp

* [fix] fix port for xpu

* [fix] add tests for ports post processing & fix ci

* [test] fix test_multi_api_server

* [fix] fix rdma_comm_ports args for multi_api_server

* [fix] fix test_common_engine

* [fix] fix test_cache_transfer_manager

* [chore] automatically setting FD_ENABLE_MULTI_API_SERVER

* [fix] avoid api server from creating engine_args twice

* [fix] fix test_run_batch

* [fix] fix test_metrics

* [fix] fix splitwise connector init

* [test] add test_rdma_transfer and test_expert_service

* [fix] fix code syntax

* [fix] fix test_rdma_transfer and build wheel with rdma script
2025-12-17 15:50:42 +08:00

182 lines
6.6 KiB
Python

"""
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
import argparse
import os
import subprocess
import sys
import time
from fastdeploy.platforms import current_platform
from fastdeploy.utils import find_free_ports, get_logger, is_port_available
logger = get_logger("multi_api_server", "multi_api_server.log")
def start_servers(
server_count=None,
device_count=None,
server_args=None,
ports=None,
metrics_ports=None,
controller_ports=None,
):
ports = ports.split(",")
if not check_param(ports, server_count):
return
if metrics_ports != "-1":
metrics_ports = metrics_ports.split(",")
if not check_param(metrics_ports, server_count):
return
if controller_ports != "-1":
controller_ports = controller_ports.split(",")
if not check_param(controller_ports, server_count):
return
else:
controller_ports = [-1] * server_count
logger.info(f"Starting servers on ports: {ports} with args: {server_args} and metrics ports: {metrics_ports}")
port_idx = {}
for i in range(len(server_args)):
if server_args[i] == "--engine-worker-queue-port":
port_idx["engine_worker_queue_port"] = i + 1
if server_args[i] == "--cache-queue-port":
port_idx["cache_queue_port"] = i + 1
if server_args[i] == "--pd-comm-port":
port_idx["pd_comm_port"] = i + 1
if server_args[i] == "--rdma-comm-ports":
port_idx["rdma_comm_ports"] = i + 1
if "engine_worker_queue_port" not in port_idx:
port = find_free_ports(num_ports=server_count)
server_args += ["--engine-worker-queue-port", ",".join(map(str, port))]
port_idx["engine_worker_queue_port"] = len(server_args) - 1
logger.info(f"No --engine-worker-queue-port specified, using random ports: {port}")
engine_worker_queue_port = server_args[port_idx["engine_worker_queue_port"]].split(",")
if not check_param(engine_worker_queue_port, server_count):
return
if "cache_queue_port" not in port_idx:
port = find_free_ports(num_ports=server_count)
server_args += ["--cache-queue-port", ",".join(map(str, port))]
port_idx["cache_queue_port"] = len(server_args) - 1
logger.info(f"No --cache-queue-port specified, using random ports: {port}")
cache_queue_port = server_args[port_idx["cache_queue_port"]].split(",")
if not check_param(cache_queue_port, server_count):
return
if "pd_comm_port" not in port_idx:
port = find_free_ports(num_ports=server_count)
server_args += ["--pd-comm-port", ",".join(map(str, port))]
port_idx["pd_comm_port"] = len(server_args) - 1
logger.info(f"No --pd-comm-port specified, using random ports: {port}")
pd_comm_port = server_args[port_idx["pd_comm_port"]].split(",")
if not check_param(pd_comm_port, server_count):
return
if "rdma_comm_ports" not in port_idx:
port = find_free_ports(num_ports=device_count)
server_args += ["--rdma-comm-ports", ",".join(map(str, port))]
port_idx["rdma_comm_ports"] = len(server_args) - 1
logger.info(f"No --rdma-comm-ports specified, using random ports: {port}")
rdma_comm_ports = server_args[port_idx["rdma_comm_ports"]].split(",")
if not check_param(rdma_comm_ports, device_count):
return
logger.info(f"Modified server_args: {server_args}")
processes = []
for i in range(server_count):
port = int(ports[i])
controller_port = int(controller_ports[i])
env = os.environ.copy()
env["FD_ENABLE_MULTI_API_SERVER"] = "1"
env["FD_LOG_DIR"] = env.get("FD_LOG_DIR", "log") + f"/log_{i}"
cmd = [
sys.executable,
"-m",
"fastdeploy.entrypoints.openai.api_server",
*server_args,
"--port",
str(port),
"--controller-port",
str(controller_port),
"--local-data-parallel-id",
str(i),
]
if metrics_ports != "-1":
cmd += ["--metrics-port", metrics_ports[i]]
# 启动子进程
proc = subprocess.Popen(cmd, env=env)
processes.append(proc)
logger.info(f"Starting servers #{i+1} (PID: {proc.pid}) port: {port} | command: {' '.join(cmd)}")
return processes
def check_param(ports, num_servers):
logger.info(f"check param {ports}, {num_servers}")
assert len(ports) == num_servers, "Number of ports must match num-servers"
for port in ports:
logger.info(f"check port {port}")
if not is_port_available("0.0.0.0", int(port)):
return False
return True
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--ports", default="8000,8002", type=str, help="ports to the http server")
parser.add_argument("--num-servers", default=2, type=int, help="number of workers")
parser.add_argument("--metrics-ports", default="-1", type=str, help="ports for metrics server")
parser.add_argument("--controller-ports", default="-1", type=str, help="ports for controller server port")
parser.add_argument("--args", nargs=argparse.REMAINDER, help="remaining arguments are passed to api_server.py")
args = parser.parse_args()
logger.info(f"Starting {args.num_servers} servers on ports: {args.ports} with args: {args.args}")
device_count = 0
if current_platform.is_cuda():
device_count = len(os.getenv("CUDA_VISIBLE_DEVICES", "0,1,2,3,4,5,6,7").split(","))
elif current_platform.is_xpu():
device_count = len(os.getenv("XPU_VISIBLE_DEVICES", "0,1,2,3,4,5,6,7").split(","))
processes = start_servers(
server_count=args.num_servers,
device_count=device_count,
server_args=args.args,
ports=args.ports,
metrics_ports=args.metrics_ports,
controller_ports=args.controller_ports,
)
try:
while True:
time.sleep(1)
except KeyboardInterrupt:
for proc in processes:
proc.terminate()
for proc in processes:
proc.wait()
logger.info("All servers stopped.")
if __name__ == "__main__":
main()