refactor: migrate workflow to v2 core and archive legacy modules
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@@ -1,209 +0,0 @@
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# -*- coding: utf-8 -*-
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"""
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多进程异步并行启动器
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按客户 ID hash 分配到不同进程，实现真正的并行处理
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"""
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import os
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import sys
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import signal
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import logging
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from multiprocessing import Process, cpu_count
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from typing import List, Dict
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import hashlib
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# 添加项目路径
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sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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logging.basicConfig(
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level=logging.INFO,
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format='[%(asctime)s] %(levelname)s: %(message)s'
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)
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logger = logging.getLogger(__name__)
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class WorkerProcess:
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"""工作进程"""
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def __init__(self, worker_id: int, shard_keys: List[str], num_workers: int, enable_agent: bool = True):
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self.worker_id = worker_id
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self.shard_keys = shard_keys
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self.num_workers = max(1, int(num_workers))
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self.enable_agent = enable_agent
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self.process = None
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def start(self):
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"""启动工作进程"""
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self.process = Process(
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target=self._run,
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args=(self.worker_id, self.shard_keys, self.num_workers, self.enable_agent),
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name=f"ai-cs-worker-{self.worker_id}"
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)
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self.process.start()
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logger.info(f"Worker {self.worker_id} 启动 (PID: {self.process.pid})")
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def _run(self, worker_id: int, shard_keys: List[str], num_workers: int, enable_agent: bool):
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"""工作进程入口"""
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try:
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# 设置进程环境变量
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os.environ['AI_CS_WORKER_ID'] = str(worker_id)
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os.environ['AI_CS_WORKER_COUNT'] = str(max(1, int(num_workers)))
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os.environ['AI_CS_SHARD_KEYS'] = ','.join(shard_keys)
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# 导入并启动 WebSocket 客户端
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from core.websocket_client import QingjianAPIClient
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logger.info(f"Worker {worker_id} 初始化 Agent...")
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client = QingjianAPIClient(enable_agent=enable_agent)
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# 只处理分配给这个 worker 的客户
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client.shard_keys = set(shard_keys)
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logger.info(f"Worker {worker_id} 开始处理消息...")
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import asyncio
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asyncio.run(client.connect())
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except KeyboardInterrupt:
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logger.info(f"Worker {worker_id} 收到退出信号")
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except Exception as e:
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logger.error(f"Worker {worker_id} 异常：{e}")
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import traceback
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traceback.print_exc()
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def stop(self):
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"""停止工作进程"""
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if self.process and self.process.is_alive():
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self.process.terminate()
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self.process.join(timeout=5)
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logger.info(f"Worker {self.worker_id} 已停止")
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class Coordinator:
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"""协调器 - 管理多个工作进程"""
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def __init__(self, num_workers: int = None, enable_agent: bool = True):
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self.num_workers = num_workers or max(2, cpu_count())
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self.workers: List[WorkerProcess] = []
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self.running = False
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self._stopping = False
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self.enable_agent = enable_agent
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def _get_shard_key(self, acc_id: str, from_id: str) -> int:
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"""根据店铺 ID + 客户 ID 计算分片 key"""
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key = f"{acc_id}:{from_id}"
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hash_value = int(hashlib.md5(key.encode()).hexdigest(), 16)
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return hash_value % self.num_workers
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def _load_customer_shards(self) -> Dict[int, List[str]]:
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"""加载客户分片信息
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Returns:
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{shard_id: [customer_key1, customer_key2, ...]}
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"""
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# 从数据库或配置文件加载客户列表
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# 这里简化处理，实际应该从数据库加载活跃客户
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shards = {i: [] for i in range(self.num_workers)}
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# TODO: 从数据库加载活跃客户列表
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# customers = db.query(...).all()
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# for customer in customers:
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# shard_id = self._get_shard_key(customer.acc_id, customer.from_id)
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# shards[shard_id].append(f"{customer.acc_id}:{customer.from_id}")
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logger.info(f"已加载 {sum(len(v) for v in shards.values())} 个客户分片")
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return shards
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def start(self):
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"""启动所有工作进程"""
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logger.info(f"启动协调器，工作进程数：{self.num_workers}")
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shards = self._load_customer_shards()
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# 启动工作进程
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for worker_id in range(self.num_workers):
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worker = WorkerProcess(
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worker_id=worker_id,
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shard_keys=shards.get(worker_id, []),
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num_workers=self.num_workers,
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enable_agent=self.enable_agent
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)
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worker.start()
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self.workers.append(worker)
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self.running = True
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# 注册信号处理
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signal.signal(signal.SIGINT, self._signal_handler)
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signal.signal(signal.SIGTERM, self._signal_handler)
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# 监控工作进程
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self._monitor_workers()
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def _monitor_workers(self):
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"""监控工作进程健康状态"""
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import time
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while self.running:
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# 检查工作进程是否存活
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for worker in self.workers:
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if worker.process and not worker.process.is_alive():
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logger.warning(f"Worker {worker.worker_id} 已退出，尝试重启...")
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# 重启工作进程
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worker.start()
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time.sleep(10) # 每 10 秒检查一次
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def _signal_handler(self, signum, frame):
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"""信号处理"""
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if self._stopping:
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return
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self._stopping = True
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logger.info(f"收到信号 {signum}，正在停止所有工作进程...")
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self.stop()
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def stop(self):
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"""停止所有工作进程"""
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if self._stopping and not self.running and not any(w.process and w.process.is_alive() for w in self.workers):
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return
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self._stopping = True
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self.running = False
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for worker in self.workers:
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worker.stop()
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logger.info("所有工作进程已停止")
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def main():
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"""主函数"""
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import argparse
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parser = argparse.ArgumentParser(description='AI 客服多进程启动器')
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parser.add_argument(
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'--workers',
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type=int,
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default=None,
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help='工作进程数（默认：CPU 核心数）'
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)
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args = parser.parse_args()
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logger.info("=" * 60)
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logger.info("AI 客服系统 - 多进程异步并行模式")
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logger.info("=" * 60)
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coordinator = Coordinator(num_workers=args.workers)
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try:
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coordinator.start()
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except KeyboardInterrupt:
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logger.info("收到退出信号")
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coordinator.stop()
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except Exception as e:
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logger.error(f"启动失败：{e}")
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import traceback
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traceback.print_exc()
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sys.exit(1)
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if __name__ == "__main__":
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main()
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