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