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xc-adapt-agent-2174/main.py

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2026-10-20 10:03:55 +08:00
"""ModelHub XC 适配智能体 —— 单任务提交器
启动后向 ModelHub XC 提交 1 条模型适配验证任务,随后保持 /health 存活等待平台停止。
提交内容(已查重,非重复模型):
模型:https://www.modelscope.cn/models/qnguyen3/qwq-1.5b-grpo (Qwen2 / 1.5B)
算力:Ascend_910-b4 框架:vllm 任务类型:text-generation
平台契约:
- 根目录 Dockerfile,监听 8080
- GET /health 探活
- 读取平台注入的 STRATEGY_ID
- 正确处理 SIGTERM
"""
import json
import os
import signal
import threading
import time
from datetime import datetime
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
import requests
# ─────────────────────────── 业务配置 ───────────────────────────
BASE_URL = os.environ.get("BASE_URL", "https://modelhub.org.cn")
ADD_TASK_ENDPOINT = "/api/adapt/task/add"
XC_TOKEN = os.environ.get("XC_TOKEN", "6616dfe75c874e61987b1f7c908e6d77")
STRATEGY_ID = os.environ.get("STRATEGY_ID", "")
MODEL_ADDRESS = "https://www.modelscope.cn/models/qnguyen3/qwq-1.5b-grpo"
TASK_TYPE = "text-generation"
TARGET_GPU = "Ascend_910-b4"
FRAMEWORK = "vllm"
# 与 POST /api/adapt/task/build-config?gpuType=Ascend_910-b4&framework=vllm&taskType=text-generation 输出一致
CONFIG_PARAMS = """framework: vllm
api: completion
max_tokens: 1024
temperature: 0.7
repetition_penalty: 1.2
top_p: 0.9
lang: zh
max_model_len: 2048
sut_config:
gpu_num: 1
values:
command:
- vllm
- serve
- /model
- --port
- '8000'
- --served-model-name
- llm
- --max-model-len
- '2048'
- --dtype
- auto
- --gpu-memory-utilization
- '0.95'
- -tp
- '1'
- --enforce-eager
- --trust-remote-code
ref_config:
gpu_num: 1
values:
command:
- vllm
- serve
- /model
- --port
- '8000'
- --served-model-name
- llm
- --max-model-len
- '2048'
- --dtype
- auto
- --gpu-memory-utilization
- '0.95'
- -tp
- '1'
- --enforce-eager
- --trust-remote-code
"""
HEADERS = {"Content-Type": "application/json", "Xc-Token": XC_TOKEN}
HTTP_HOST, HTTP_PORT = "0.0.0.0", 8080
MAX_ATTEMPTS = 5
RETRY_GAP = 15 # 秒
_state = {
"strategy_id": STRATEGY_ID,
"phase": "starting", # starting | submitting | done | error
"model_address": MODEL_ADDRESS,
"target_gpu": TARGET_GPU,
"framework": FRAMEWORK,
"attempts": 0,
"attempt_log": [],
"task_id": None,
"started_at": None,
"finished_at": None,
}
_shutdown = threading.Event()
_submitting = threading.Lock()
_submitted = False
def submit_task():
"""提交一次;已提交过则直接返回。"""
global _submitted
with _submitting:
if _submitted:
return True
payload = {
"configParams": CONFIG_PARAMS,
"framework": FRAMEWORK,
"modelAddress": MODEL_ADDRESS,
"targetGpu": TARGET_GPU,
"taskType": TASK_TYPE,
"strategyId": STRATEGY_ID,
}
_state["phase"] = "submitting"
_state["started_at"] = datetime.utcnow().isoformat()
for i in range(1, MAX_ATTEMPTS + 1):
if _shutdown.is_set():
break
_state["attempts"] = i
try:
resp = requests.post(BASE_URL + ADD_TASK_ENDPOINT, headers=HEADERS,
json=payload, timeout=60)
body = resp.json()
except Exception as e: # noqa: BLE001
body = {"code": -1, "message": "exception: %s" % e}
code = body.get("code")
msg = body.get("message", "")
entry = {"attempt": i, "time": datetime.utcnow().isoformat(),
"http_status": None, "code": code, "message": msg}
try:
entry["http_status"] = resp.status_code
except Exception: # noqa: BLE001
pass
_state["attempt_log"].append(entry)
print("[submit] #%d code=%s message=%s" % (i, code, msg), flush=True)
if code == 0:
data = body.get("data") or {}
_state["task_id"] = data.get("id")
_state["phase"] = "done"
_state["finished_at"] = datetime.utcnow().isoformat()
_submitted = True
print("[submit] 提交成功 taskId=%s" % _state["task_id"], flush=True)
return True
# 已存在/重复等不可重试错误,直接退出
if code not in (-1, 60014, 50000):
_state["phase"] = "error"
_state["finished_at"] = datetime.utcnow().isoformat()
print("[submit] 终止:不可重试错误", flush=True)
return False
if i < MAX_ATTEMPTS and not _shutdown.is_set():
time.sleep(RETRY_GAP)
_state["phase"] = "error"
_state["finished_at"] = datetime.utcnow().isoformat()
return False
class Handler(BaseHTTPRequestHandler):
def do_GET(self):
if self.path == "/health":
self._json({"status": "ok"})
elif self.path in ("/", "/status"):
self._json(_state)
else:
self._json({"error": "not found"}, 404)
def do_POST(self):
if self.path == "/task":
submit_task()
self._json(_state)
else:
self._json({"error": "not found"}, 404)
def _json(self, body, code=200):
raw = json.dumps(body, ensure_ascii=False, default=str).encode()
self.send_response(code)
self.send_header("Content-Type", "application/json")
self.send_header("Content-Length", str(len(raw)))
self.end_headers()
self.wfile.write(raw)
def log_message(self, fmt, *args):
print(self.address_string() + " - " + (fmt % args), flush=True)
def _handle_signal(signum, _frame):
print("[main] 收到信号 %s,准备退出" % signum, flush=True)
_shutdown.set()
def main():
signal.signal(signal.SIGTERM, _handle_signal)
signal.signal(signal.SIGINT, _handle_signal)
print("[main] strategy_id=%s" % STRATEGY_ID, flush=True)
print("[main] model=%s gpu=%s framework=%s" % (MODEL_ADDRESS, TARGET_GPU, FRAMEWORK), flush=True)
http_thread = threading.Thread(target=_run_http, daemon=False)
http_thread.start()
worker = threading.Thread(target=submit_task, daemon=True)
worker.start()
_shutdown.wait()
print("[main] 退出", flush=True)
def _run_http():
server = ThreadingHTTPServer((HTTP_HOST, HTTP_PORT), Handler)
server.timeout = 1
print("[http] 监听 %s:%d" % (HTTP_HOST, HTTP_PORT), flush=True)
while not _shutdown.is_set():
server.handle_request()
server.server_close()
print("[http] 已关闭", flush=True)
if __name__ == "__main__":
main()