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FastDeploy/tests/e2e/utils/serving_utils.py
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[PD Disaggregation] Add unittest for splitwise deployment with using rdma (#5189)
* Add splitwise deployment with using rdma
* clean cuda
2025-11-27 14:27:17 +08:00

171 lines
5.4 KiB
Python

import os
import signal
import socket
import subprocess
import time
import requests
# Read ports from environment variables; use default values if not set
FD_API_PORT = int(os.getenv("FD_API_PORT", 8188))
FD_ENGINE_QUEUE_PORT = int(os.getenv("FD_ENGINE_QUEUE_PORT", 8133))
FD_METRICS_PORT = int(os.getenv("FD_METRICS_PORT", 8233))
FD_CACHE_QUEUE_PORT = int(os.getenv("FD_CACHE_QUEUE_PORT", 8333))
# List of ports to clean before and after tests
PORTS_TO_CLEAN = [FD_API_PORT, FD_ENGINE_QUEUE_PORT, FD_METRICS_PORT, FD_CACHE_QUEUE_PORT]
def is_port_open(host: str, port: int, timeout=1.0):
"""
Check if a TCP port is open on the given host.
Returns True if connection succeeds, False otherwise.
"""
try:
with socket.create_connection((host, port), timeout):
return True
except Exception:
return False
def _clean_cuda_process():
"""
Kill processes that are using CUDA devices.
NOTE: Do not call this function directly, use the `clean` function instead.
"""
try:
subprocess.run("fuser -k /dev/nvidia*", shell=True, timeout=5)
except (subprocess.TimeoutExpired, subprocess.CalledProcessError, FileNotFoundError):
pass
def kill_process_on_port(port: int):
"""
Kill processes that are listening on the given port.
Uses multiple methods to ensure thorough cleanup.
"""
current_pid = os.getpid()
parent_pid = os.getppid()
# Method 1: Use lsof to find processes
try:
output = subprocess.check_output(f"lsof -i:{port} -t", shell=True).decode().strip()
for pid in output.splitlines():
pid = int(pid)
if pid in (current_pid, parent_pid):
print(f"Skip killing current process (pid={pid}) on port {port}")
continue
try:
# First try SIGTERM for graceful shutdown
os.kill(pid, signal.SIGTERM)
time.sleep(1)
# Then SIGKILL if still running
os.kill(pid, signal.SIGKILL)
print(f"Killed process on port {port}, pid={pid}")
except ProcessLookupError:
pass # Process already terminated
except subprocess.CalledProcessError:
pass
# Method 2: Use netstat and fuser as backup
try:
# Find processes using netstat and awk
cmd = f"netstat -tulpn 2>/dev/null | grep :{port} | awk '{{print $7}}' | cut -d'/' -f1"
output = subprocess.check_output(cmd, shell=True).decode().strip()
for pid in output.splitlines():
if pid and pid.isdigit():
pid = int(pid)
if pid in (current_pid, parent_pid):
continue
try:
os.kill(pid, signal.SIGKILL)
print(f"Killed process (netstat) on port {port}, pid={pid}")
except ProcessLookupError:
pass
except (subprocess.CalledProcessError, FileNotFoundError):
pass
# Method 3: Use fuser if available
try:
subprocess.run(f"fuser -k {port}/tcp", shell=True, timeout=5)
except (subprocess.TimeoutExpired, subprocess.CalledProcessError, FileNotFoundError):
pass
def clean_ports(ports=None):
"""
Kill all processes occupying the ports
"""
if ports is None:
ports = PORTS_TO_CLEAN
print(f"Cleaning ports: {ports}")
for port in ports:
kill_process_on_port(port)
# Double check and retry if ports are still in use
time.sleep(2)
for port in ports:
if is_port_open("127.0.0.1", port, timeout=0.1):
print(f"Port {port} still in use, retrying cleanup...")
kill_process_on_port(port)
time.sleep(1)
def clean(ports=None):
"""
Clean up resources used during testing.
"""
clean_ports(ports)
# Clean CUDA devices before and after tests.
# NOTE: It is dangerous to use this flag on development machines, as it may kill other processes
clean_cuda = int(os.getenv("CLEAN_CUDA", "0")) == 1
if clean_cuda:
_clean_cuda_process()
def check_service_health(base_url: str, timeout: int = 3) -> bool:
"""
Check the health status of a service.
Args:
base_url (str): The base URL of the service, e.g. "http://127.0.0.1:8080"
timeout (int): Request timeout in seconds.
Returns:
bool: True if the service is healthy, False otherwise.
"""
if not base_url.startswith("http"):
base_url = f"http://{base_url}"
url = f"{base_url.rstrip('/')}/health"
try:
resp = requests.get(url, timeout=timeout)
if resp.status_code == 200:
return True
else:
return False
except Exception:
return False
def get_registered_number(router_url) -> dict:
"""
Get the registered model counts by type from the router.
Args:
router_url (str): The base URL of the router, e.g. "http://localhost:8080".
Returns:
dict: A dictionary containing registered model counts with keys "mixed", "prefill", and "decode".
"""
if not router_url.startswith("http"):
router_url = f"http://{router_url}"
try:
response = requests.get(f"{router_url}/registered_number", timeout=60)
registered_numbers = response.json()
return registered_numbers
except Exception:
return {"mixed": 0, "prefill": 0, "decode": 0}