BIZ-38: CacheManager + CoordinatedPoller + multica_proxy — 共享心跳脚本v1.0
Co-authored-by: multica-agent <github@multica.ai>
This commit is contained in:
@@ -0,0 +1,474 @@
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"""
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heartbeat_helper.py — 高频 Agent 心跳辅助脚本
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提供心跳脚本中所有通用功能，底层通过 multica_proxy 调用 multica CLI，
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自动享受缓存和限流保护。
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用法：
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from heartbeat_helper import check_my_tasks, check_timeouts, check_dependencies
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作者：陆怀瑾（COO）
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日期：2026-06-23
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"""
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import os
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import sys
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import json
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import time
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from typing import Any, Dict, List, Optional
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_SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
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if _SCRIPT_DIR not in sys.path:
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sys.path.insert(0, _SCRIPT_DIR)
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from multica_proxy import (
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run_multica,
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multica_issue_list_my_todo,
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multica_issue_list_in_progress,
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multica_issue_get,
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openclaw_workboard_list,
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openclaw_workboard_read,
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get_cache_stats,
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clear_cache,
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start_coordinated_poller,
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subscribe_to_poller,
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get_poller_status,
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health_check,
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)
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# ============================================================================
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# Agent 配置
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# ============================================================================
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AGENT_CONFIGS = {
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"coo": {
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"name": "陆怀瑾",
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"multica_uuid": "1c38b437-b54d-4784-bda3-29ce4c8a6722",
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"openclaw_agent_id": "coo",
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"is_coo": True,
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},
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"secretary": {
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"name": "刘诗妮",
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"multica_uuid": "b024fcdc-30ff-420d-b289-498041466e1b",
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"openclaw_agent_id": "secretary",
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"is_coo": False,
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},
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"projectmanager": {
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"name": "胡蓉",
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"multica_uuid": "d877b8c3-b230-4073-b3f7-80e148cfdb71",
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"openclaw_agent_id": "projectmanager",
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"is_coo": False,
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},
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"costcodev": {
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"name": "徐聪",
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"multica_uuid": "46bdd4a6-5c64-475a-92ef-36a763602fa1",
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"openclaw_agent_id": "costcodev",
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"is_coo": False,
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},
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"opengineer": {
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"name": "严维序",
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"multica_uuid": "d3804433-9e2e-4199-a92b-a153049b3bc9",
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"openclaw_agent_id": "opengineer",
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"is_coo": False,
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},
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"productmanager": {
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"name": "沈路明",
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"multica_uuid": "a101fa88-d821-4839-9754-e04580d5fd68",
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"openclaw_agent_id": "productmanager",
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"is_coo": False,
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},
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"architect": {
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"name": "梁思筑",
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"multica_uuid": "40abd41a-62d0-416d-bc44-92c1f758d87a",
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"openclaw_agent_id": "architect",
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"is_coo": False,
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},
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"designer": {
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"name": "苏锦绘",
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"multica_uuid": "13bd8968-cc2a-4934-90c7-957a2d3c09c2",
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"openclaw_agent_id": "designer",
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"is_coo": False,
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},
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"contentspecialist": {
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"name": "文墨言",
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"multica_uuid": "8321b0bf-7d89-4ece-927a-0780f42ad396",
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"openclaw_agent_id": "contentspecialist",
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"is_coo": False,
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},
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"cvexpert": {
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"name": "程伯予",
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"multica_uuid": "4a8696fd-6531-40da-8956-ef84d7ea3c43",
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"openclaw_agent_id": "cvexpert",
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"is_coo": False,
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},
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"prompt-engineer": {
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"name": "许言",
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"multica_uuid": "ece81d8e-8a24-4dd8-a7af-8adfc54b9d01",
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"openclaw_agent_id": "prompt-engineer",
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"is_coo": False,
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},
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"mediaspecialist": {
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"name": "钟帧韵",
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"multica_uuid": "e2b587d4-1d16-447c-8ad9-e2a01358ff0a",
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"openclaw_agent_id": "mediaspecialist",
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"is_coo": False,
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},
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"taobaospecialist": {
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"name": "陆云帆",
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"multica_uuid": "e0f62d8f-9568-4f41-8ad4-b73d79a163a7",
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"openclaw_agent_id": "taobaospecialist",
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"is_coo": False,
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},
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"marketanalysis": {
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"name": "顾析策",
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"multica_uuid": "5ed91729-658f-4654-98f0-3e0313022002",
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"openclaw_agent_id": "marketanalysis",
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"is_coo": False,
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},
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"lawyer": {
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"name": "苏慎",
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"multica_uuid": "6fb0fbd2-16a6-4566-ba7a-d2c136baec25",
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"openclaw_agent_id": "lawyer",
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"is_coo": False,
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},
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}
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def get_agent_config(agent_id: str) -> Dict[str, Any]:
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"""获取 Agent 配置"""
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config = AGENT_CONFIGS.get(agent_id)
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if config is None:
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raise ValueError(f"Unknown agent: {agent_id}. Known: {list(AGENT_CONFIGS.keys())}")
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return config
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# ============================================================================
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# 三源任务检查
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# ============================================================================
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def check_workboard_tasks(agent_id: str) -> List[Dict[str, Any]]:
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"""
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检查 WorkBoard 中分配给当前 Agent 的待办卡片
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替代内联 bash 脚本
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"""
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result = openclaw_workboard_list()
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if not result["success"]:
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print(f"[heartbeat] WorkBoard 查询失败: {result['error']}")
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return []
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data = result["data"]
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my_cards = [
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c for c in data.get("cards", [])
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if c.get("agentId") == agent_id and c.get("status") == "todo"
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]
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return my_cards
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def check_multica_tasks(agent_id: str) -> List[Dict[str, Any]]:
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"""
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检查 Multica 中分配给当前 Agent 的待办 Issue
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替代内联 bash 脚本
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"""
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config = get_agent_config(agent_id)
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result = multica_issue_list_my_todo(config["multica_uuid"])
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if not result["success"]:
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print(f"[heartbeat] Multica 查询失败: {result['error']}")
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return []
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data = result["data"]
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if isinstance(data, list):
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return data
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return []
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def check_todo_docs(workspace_dir: str) -> List[str]:
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"""
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检查工作区待办文档中的未完成项
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"""
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items = []
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for filename in ["TODO.md", "AGENTS.md"]:
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filepath = os.path.join(workspace_dir, filename)
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if os.path.exists(filepath):
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try:
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with open(filepath) as f:
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for i, line in enumerate(f, 1):
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if "[ ]" in line:
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items.append(f"{filename}:{i}: {line.strip()}")
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except Exception:
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pass
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return items
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def check_my_tasks(agent_id: str, workspace_dir: str) -> Dict[str, Any]:
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"""
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三源合并检查：WorkBoard + Multica + 待办文档
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"""
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wb_tasks = check_workboard_tasks(agent_id)
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mul_tasks = check_multica_tasks(agent_id)
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doc_tasks = check_todo_docs(workspace_dir)
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return {
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"workboard": wb_tasks,
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"multica": mul_tasks,
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"documents": doc_tasks,
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"total": len(wb_tasks) + len(mul_tasks) + len(doc_tasks),
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}
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# ============================================================================
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# 超时检测
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# ============================================================================
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TIMEOUT_SECONDS = 1200 # 20 分钟
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def check_workboard_timeouts() -> List[Dict[str, Any]]:
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"""
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检查 WorkBoard 中超过 20 分钟无进展的进行中任务
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"""
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result = openclaw_workboard_list()
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if not result["success"]:
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print(f"[heartbeat] WorkBoard 超时检测失败: {result['error']}")
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return []
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data = result["data"]
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now = time.time()
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timeouts = []
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for c in data.get("cards", []):
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if c.get("status") != "in_progress":
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continue
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updated = c.get("updated_at", "")
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if updated:
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try:
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age = now - time.mktime(time.strptime(updated[:19], "%Y-%m-%dT%H:%M:%S"))
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if age > TIMEOUT_SECONDS:
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timeouts.append(c)
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except (ValueError, OverflowError):
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pass
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return timeouts
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def check_multica_timeouts() -> List[Dict[str, Any]]:
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"""
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检查 Multica 中超过 20 分钟无进展的进行中 Issue
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"""
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result = multica_issue_list_in_progress()
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if not result["success"]:
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print(f"[heartbeat] Multica 超时检测失败: {result['error']}")
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return []
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data = result["data"]
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now = time.time()
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timeouts = []
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if isinstance(data, list):
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for issue in data:
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updated = issue.get("updated_at", "")
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if updated:
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try:
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age = now - time.mktime(time.strptime(updated[:19], "%Y-%m-%dT%H:%M:%S"))
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if age > TIMEOUT_SECONDS:
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timeouts.append(issue)
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except (ValueError, OverflowError):
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pass
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return timeouts
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def check_timeouts() -> Dict[str, Any]:
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"""
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跨平台超时检测
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"""
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wb_timeouts = check_workboard_timeouts()
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mul_timeouts = check_multica_timeouts()
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return {
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"workboard_timeouts": wb_timeouts,
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"multica_timeouts": mul_timeouts,
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"total_timeouts": len(wb_timeouts) + len(mul_timeouts),
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}
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# ============================================================================
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# 依赖检查
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# ============================================================================
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def check_workboard_dependencies(card_id: str) -> Dict[str, Any]:
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"""
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检查 WorkBoard 卡片的依赖是否满足
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"""
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result = openclaw_workboard_read(card_id)
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if not result["success"]:
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return {"satisfied": False, "error": result["error"], "unmet": []}
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card = result["data"]
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deps = card.get("dependsOn", [])
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unmet = [dep for dep in deps if dep.get("status") != "done"]
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return {
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"satisfied": len(unmet) == 0,
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"total_deps": len(deps),
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"unmet": unmet,
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}
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def check_multica_dependencies(issue_id: str) -> Dict[str, Any]:
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"""
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检查 Multica Issue 的父 Issue 依赖是否满足
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"""
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result = multica_issue_get(issue_id)
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if not result["success"]:
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return {"satisfied": False, "error": result["error"], "unmet": []}
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issue = result["data"]
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parent_id = issue.get("parent_issue_id")
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if not parent_id:
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return {"satisfied": True, "total_deps": 0, "unmet": []}
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parent_result = multica_issue_get(parent_id)
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if not parent_result["success"]:
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return {"satisfied": False, "error": f"Failed to check parent {parent_id}", "unmet": [parent_id]}
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parent = parent_result["data"]
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if parent.get("status") != "done":
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return {"satisfied": False, "total_deps": 1, "unmet": [{"id": parent_id, "identifier": parent.get("identifier"), "status": parent.get("status")}]}
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return {"satisfied": True, "total_deps": 1, "unmet": []}
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# ============================================================================
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# 全局积压巡检（COO 专用）
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# ============================================================================
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def check_global_backlog() -> Dict[str, Any]:
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"""
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全平台积压巡检：WorkBoard + Multica 全局待办数
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"""
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wb_result = openclaw_workboard_list()
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mul_result = multica_issue_list_in_progress()
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wb_stats = {"total": 0, "todo": 0, "in_progress": 0, "done": 0}
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if wb_result["success"]:
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cards = wb_result["data"].get("cards", [])
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wb_stats["total"] = len(cards)
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for c in cards:
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status = c.get("status", "")
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if status in wb_stats:
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wb_stats[status] += 1
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mul_stats = {"total": 0, "in_progress": 0}
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if mul_result["success"] and isinstance(mul_result["data"], list):
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mul_stats["total"] = len(mul_result["data"])
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mul_stats["in_progress"] = mul_stats["total"]
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return {
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"workboard": wb_stats,
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"multica": mul_stats,
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}
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# ============================================================================
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# 心跳主入口
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# ============================================================================
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def run_heartbeat(agent_id: str, workspace_dir: str) -> Dict[str, Any]:
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"""
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执行完整心跳检查
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参数：
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agent_id: Agent ID（如 "coo", "secretary"）
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workspace_dir: 工作区目录路径
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返回：
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心跳结果字典
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"""
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config = get_agent_config(agent_id)
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is_coo = config["is_coo"]
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result = {
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"agent": config["name"],
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"agent_id": agent_id,
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"timestamp": time.strftime("%Y-%m-%dT%H:%M:%S"),
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"tasks": check_my_tasks(agent_id, workspace_dir),
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"timeouts": check_timeouts(),
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}
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# COO 额外检查
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if is_coo:
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result["global_backlog"] = check_global_backlog()
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result["cache_stats"] = get_cache_stats()
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result["poller_status"] = get_poller_status()
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return result
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def print_heartbeat_report(result: Dict[str, Any]) -> None:
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"""打印格式化的心跳报告"""
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print(f"\n{'='*60}")
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print(f" 🫀 心跳报告 — {result['agent']} ({result['agent_id']})")
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print(f" ⏰ {result['timestamp']}")
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print(f"{'='*60}")
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tasks = result["tasks"]
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print(f"\n📋 任务检查:")
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print(f" WorkBoard 待办: {len(tasks['workboard'])}")
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for t in tasks["workboard"]:
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print(f" ⚠️ WB TODO: {t['id'][:8]} → {t.get('agentId','?')} - {t.get('title','?')[:50]}")
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print(f" Multica 待办: {len(tasks['multica'])}")
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for t in tasks["multica"]:
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print(f" ⚠️ MUL TODO: {t.get('identifier','?')} - {t.get('title','?')[:50]}")
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print(f" 文档待办: {len(tasks['documents'])}")
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for d in tasks["documents"]:
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print(f" 📝 {d}")
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timeouts = result["timeouts"]
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print(f"\n⏱️ 超时检测:")
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print(f" WorkBoard 超时: {len(timeouts['workboard_timeouts'])}")
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for t in timeouts["workboard_timeouts"]:
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print(f" ⏰ WB TIMEOUT: {t['id'][:8]} [{t.get('agentId','?')}] {t.get('title','?')[:50]}")
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||||
print(f" Multica 超时: {len(timeouts['multica_timeouts'])}")
|
||||
for t in timeouts["multica_timeouts"]:
|
||||
print(f" ⏰ MUL TIMEOUT: {t.get('identifier','?')} {t.get('title','?')[:50]}")
|
||||
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||||
if "global_backlog" in result:
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||||
gb = result["global_backlog"]
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print(f"\n📊 全局积压:")
|
||||
print(f" WorkBoard: {gb['workboard']}")
|
||||
print(f" Multica: {gb['multica']}")
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||||
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||||
if "cache_stats" in result:
|
||||
print(f"\n💾 缓存: {result['cache_stats']}")
|
||||
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||||
print(f"\n{'='*60}\n")
|
||||
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||||
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||||
# ============================================================================
|
||||
# CLI 入口
|
||||
# ============================================================================
|
||||
|
||||
if __name__ == "__main__":
|
||||
import argparse
|
||||
|
||||
parser = argparse.ArgumentParser(description="Agent 心跳辅助脚本")
|
||||
parser.add_argument("agent_id", help="Agent ID (coo/secretary/projectmanager/costcodev/opengineer)")
|
||||
parser.add_argument("--workspace", "-w", default=os.getcwd(), help="工作区目录")
|
||||
parser.add_argument("--json", action="store_true", help="JSON 输出")
|
||||
parser.add_argument("--health", action="store_true", help="健康检查")
|
||||
parser.add_argument("--clear-cache", action="store_true", help="清理缓存")
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
if args.health:
|
||||
print(json.dumps(health_check(), indent=2, ensure_ascii=False))
|
||||
elif args.clear_cache:
|
||||
count = clear_cache()
|
||||
print(f"已清理 {count} 条缓存")
|
||||
else:
|
||||
result = run_heartbeat(args.agent_id, args.workspace)
|
||||
if args.json:
|
||||
print(json.dumps(result, indent=2, ensure_ascii=False, default=str))
|
||||
else:
|
||||
print_heartbeat_report(result)
|
||||
@@ -0,0 +1,309 @@
|
||||
"""
|
||||
multica_proxy.py — multica CLI 调用代理
|
||||
|
||||
封装 multica CLI 调用，自动带缓存和限流保护。
|
||||
各 Agent 心跳脚本中用 multica_proxy 替代直接 subprocess.run(["multica",...])
|
||||
|
||||
依赖：rate_limiter.py（CacheManager, RequestScheduler, CoordinatedPoller）
|
||||
|
||||
作者：陆怀瑾（COO）
|
||||
日期：2026-06-23
|
||||
"""
|
||||
|
||||
import os
|
||||
import sys
|
||||
import json
|
||||
import subprocess
|
||||
import hashlib
|
||||
from typing import Any, Dict, Optional
|
||||
|
||||
# 确保能找到 rate_limiter
|
||||
_SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
|
||||
if _SCRIPT_DIR not in sys.path:
|
||||
sys.path.insert(0, _SCRIPT_DIR)
|
||||
|
||||
from rate_limiter import CacheManager, RequestScheduler, CoordinatedPoller, Priority
|
||||
|
||||
# ============================================================================
|
||||
# 全局单例
|
||||
# ============================================================================
|
||||
|
||||
_cache = CacheManager()
|
||||
_scheduler: Optional[RequestScheduler] = None
|
||||
_poller: Optional[CoordinatedPoller] = None
|
||||
|
||||
|
||||
def _get_scheduler() -> RequestScheduler:
|
||||
"""获取或创建调度器单例"""
|
||||
global _scheduler
|
||||
if _scheduler is None:
|
||||
_scheduler = RequestScheduler(rate=40/60, capacity=40, enable_cache=True)
|
||||
_scheduler.start()
|
||||
return _scheduler
|
||||
|
||||
|
||||
def _get_poller() -> CoordinatedPoller:
|
||||
"""获取或创建统一轮询器单例"""
|
||||
global _poller
|
||||
if _poller is None:
|
||||
_poller = CoordinatedPoller(_get_scheduler(), poll_interval=15*60)
|
||||
return _poller
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# 缓存查询辅助
|
||||
# ============================================================================
|
||||
|
||||
def _make_cache_key(cmd: list) -> str:
|
||||
"""为 CLI 命令生成缓存键"""
|
||||
return hashlib.md5(json.dumps(cmd, sort_keys=True).encode()).hexdigest()
|
||||
|
||||
|
||||
def _cache_category(cmd: list) -> str:
|
||||
"""根据命令推断缓存类别"""
|
||||
cmd_str = " ".join(str(x) for x in cmd)
|
||||
if "workboard" in cmd_str:
|
||||
return "workboard"
|
||||
if "config" in cmd_str or "agent" in cmd_str:
|
||||
return "config"
|
||||
if "wiki" in cmd_str or "knowledge" in cmd_str:
|
||||
return "knowledge"
|
||||
if "user" in cmd_str or "member" in cmd_str:
|
||||
return "user"
|
||||
return "workboard" # 默认 5 分钟
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# 核心代理函数
|
||||
# ============================================================================
|
||||
|
||||
# OpenClaw 工作区 ID（全局常量）
|
||||
# 用于所有 multica CLI 调用，确保隔离会话也能正确查询
|
||||
_WORKSPACE_ID = "54344e11-6bb2-4d95-a5e5-c8b075a07cea"
|
||||
|
||||
|
||||
def _inject_workspace_id(cmd: list) -> list:
|
||||
"""自动注入 workspace-id 到 multica CLI 命令"""
|
||||
if len(cmd) >= 2 and cmd[0] == "multica" and "--workspace-id" not in cmd:
|
||||
# 插入在命令和子命令之后、标志之前
|
||||
insert_idx = 1
|
||||
while insert_idx < len(cmd) and not cmd[insert_idx].startswith("--"):
|
||||
insert_idx += 1
|
||||
new_cmd = cmd[:insert_idx] + ["--workspace-id", _WORKSPACE_ID] + cmd[insert_idx:]
|
||||
return new_cmd
|
||||
return cmd
|
||||
|
||||
|
||||
def run_multica(cmd: list, use_cache: bool = True, timeout: int = 30) -> Dict[str, Any]:
|
||||
"""
|
||||
执行 multica CLI 命令（带缓存和限流）
|
||||
|
||||
参数：
|
||||
cmd: 命令列表，如 ["multica", "issue", "list", "--output", "json"]
|
||||
use_cache: 是否使用缓存
|
||||
timeout: 超时时间（秒）
|
||||
|
||||
返回：
|
||||
{"success": bool, "data": Any, "from_cache": bool, "error": str|None}
|
||||
"""
|
||||
# 自动注入 workspace-id，确保隔离会话正确查询
|
||||
cmd = _inject_workspace_id(cmd)
|
||||
category = _cache_category(cmd)
|
||||
|
||||
# 1. 尝试从缓存获取
|
||||
if use_cache:
|
||||
cached = _cache.get(category, cmd)
|
||||
if cached is not None:
|
||||
return {"success": True, "data": cached, "from_cache": True, "error": None}
|
||||
|
||||
# 2. 执行 CLI 命令
|
||||
try:
|
||||
result = subprocess.run(
|
||||
cmd,
|
||||
capture_output=True,
|
||||
text=True,
|
||||
timeout=timeout
|
||||
)
|
||||
|
||||
if result.returncode != 0:
|
||||
error_msg = result.stderr.strip() or f"Exit code {result.returncode}"
|
||||
return {"success": False, "data": None, "from_cache": False, "error": error_msg}
|
||||
|
||||
# 尝试解析 JSON
|
||||
try:
|
||||
data = json.loads(result.stdout)
|
||||
except json.JSONDecodeError:
|
||||
data = result.stdout.strip()
|
||||
|
||||
# 3. 写入缓存
|
||||
if use_cache:
|
||||
_cache.set(category, cmd, data)
|
||||
|
||||
return {"success": True, "data": data, "from_cache": False, "error": None}
|
||||
|
||||
except subprocess.TimeoutExpired:
|
||||
return {"success": False, "data": None, "from_cache": False, "error": f"Command timed out after {timeout}s"}
|
||||
except Exception as e:
|
||||
return {"success": False, "data": None, "from_cache": False, "error": str(e)}
|
||||
|
||||
|
||||
def run_openclaw_workboard(cmd: list, use_cache: bool = True, timeout: int = 30) -> Dict[str, Any]:
|
||||
"""
|
||||
执行 openclaw workboard CLI 命令（带缓存）
|
||||
|
||||
参数同 run_multica
|
||||
"""
|
||||
return run_multica(cmd, use_cache=use_cache, timeout=timeout)
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# 便捷函数：心跳脚本中直接替换
|
||||
# ============================================================================
|
||||
|
||||
def multica_issue_list_my_todo(assignee_id: str) -> Dict[str, Any]:
|
||||
"""
|
||||
获取分配给我的待办 Issue 列表
|
||||
替代: multica issue list --assignee-id <id> --status todo --output json
|
||||
"""
|
||||
return run_multica([
|
||||
"multica", "issue", "list",
|
||||
"--assignee-id", assignee_id,
|
||||
"--status", "todo",
|
||||
"--output", "json"
|
||||
])
|
||||
|
||||
|
||||
def multica_issue_list_in_progress() -> Dict[str, Any]:
|
||||
"""
|
||||
获取所有进行中的 Issue 列表（超时检测用）
|
||||
替代: multica issue list --status in_progress --output json
|
||||
"""
|
||||
return run_multica([
|
||||
"multica", "issue", "list",
|
||||
"--status", "in_progress",
|
||||
"--output", "json"
|
||||
])
|
||||
|
||||
|
||||
def multica_issue_get(issue_id: str) -> Dict[str, Any]:
|
||||
"""
|
||||
获取单个 Issue 详情
|
||||
替代: multica issue get <id> --output json
|
||||
"""
|
||||
return run_multica([
|
||||
"multica", "issue", "get",
|
||||
issue_id,
|
||||
"--output", "json"
|
||||
])
|
||||
|
||||
|
||||
def openclaw_workboard_list() -> Dict[str, Any]:
|
||||
"""
|
||||
获取 WorkBoard 卡片列表
|
||||
替代: openclaw workboard list --json
|
||||
"""
|
||||
return run_multica([
|
||||
"openclaw", "workboard", "list", "--json"
|
||||
])
|
||||
|
||||
|
||||
def openclaw_workboard_read(card_id: str) -> Dict[str, Any]:
|
||||
"""
|
||||
获取单个 WorkBoard 卡片
|
||||
替代: openclaw workboard read <id> --json
|
||||
"""
|
||||
return run_multica([
|
||||
"openclaw", "workboard", "read", card_id, "--json"
|
||||
])
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# 缓存管理
|
||||
# ============================================================================
|
||||
|
||||
def get_cache_stats() -> Dict[str, Any]:
|
||||
"""获取缓存统计"""
|
||||
return _cache.get_stats()
|
||||
|
||||
|
||||
def clear_cache(category: Optional[str] = None) -> int:
|
||||
"""
|
||||
清理缓存
|
||||
参数：
|
||||
category: 指定类别清理，None 表示全部清理
|
||||
返回：清理条目数
|
||||
"""
|
||||
if category:
|
||||
return _cache.clear_expired()
|
||||
else:
|
||||
count = len(_cache._cache)
|
||||
_cache.clear()
|
||||
return count
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# 统一轮询器（仅 COO 使用）
|
||||
# ============================================================================
|
||||
|
||||
def start_coordinated_poller() -> CoordinatedPoller:
|
||||
"""
|
||||
启动 COO 统一轮询器
|
||||
仅 COO Agent 调用此函数
|
||||
"""
|
||||
poller = _get_poller()
|
||||
if not poller._running:
|
||||
poller.start()
|
||||
return poller
|
||||
|
||||
|
||||
def subscribe_to_poller(callback) -> None:
|
||||
"""
|
||||
订阅 COO 统一轮询结果
|
||||
其他 Agent 调用此函数，不再各自调 multica CLI
|
||||
"""
|
||||
_get_poller().subscribe(callback)
|
||||
|
||||
|
||||
def get_poller_status() -> Dict[str, Any]:
|
||||
"""获取轮询器状态"""
|
||||
poller = _get_poller()
|
||||
return {
|
||||
"running": poller._running,
|
||||
"poll_interval": poller.poll_interval,
|
||||
"subscriber_count": len(poller._subscribers)
|
||||
}
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# 健康检查
|
||||
# ============================================================================
|
||||
|
||||
def health_check() -> Dict[str, Any]:
|
||||
"""检查 multica_proxy 健康状态"""
|
||||
scheduler = _get_scheduler()
|
||||
return {
|
||||
"status": "ok",
|
||||
"cache": get_cache_stats(),
|
||||
"scheduler": scheduler.get_status(),
|
||||
"poller": get_poller_status()
|
||||
}
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# 测试
|
||||
# ============================================================================
|
||||
|
||||
if __name__ == "__main__":
|
||||
print("=== multica_proxy 健康检查 ===")
|
||||
print(json.dumps(health_check(), indent=2, ensure_ascii=False))
|
||||
|
||||
print("\n=== 测试缓存 ===")
|
||||
# 第一次调用（无缓存）
|
||||
result1 = run_multica(["echo", "test1"], use_cache=True)
|
||||
print(f"第1次: from_cache={result1['from_cache']}")
|
||||
|
||||
# 第二次调用（应命中缓存）
|
||||
result2 = run_multica(["echo", "test1"], use_cache=True)
|
||||
print(f"第2次: from_cache={result2['from_cache']}")
|
||||
|
||||
print("\n测试完成")
|
||||
@@ -0,0 +1,772 @@
|
||||
"""
|
||||
BIZ-26: API 请求优先级队列 + 令牌桶限流器
|
||||
|
||||
实现方案参考：plans/BIZ-13_运行稳定性保障方案.md
|
||||
|
||||
功能清单：
|
||||
1. 四级优先级请求队列（紧急 > 高 > 正常 > 低）
|
||||
2. 令牌桶限流器（40 RPM 上限）
|
||||
3. 超限自动降级和等待策略
|
||||
4. 请求合并（COO 统一轮询）
|
||||
5. 查询结果缓存（WorkBoard 5 分钟、配置 1 小时、知识库 1 天）
|
||||
|
||||
作者：徐聪（costcodev）
|
||||
日期：2026-06-23
|
||||
"""
|
||||
|
||||
import time
|
||||
import threading
|
||||
import queue
|
||||
import hashlib
|
||||
import json
|
||||
from typing import Any, Callable, Dict, List, Optional, Tuple
|
||||
from dataclasses import dataclass, field
|
||||
from enum import IntEnum
|
||||
from datetime import datetime, timedelta
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# 网关识别：只对 NVIDIA 网关限流
|
||||
# ============================================================================
|
||||
|
||||
NVIDIA_GATEWAY_ALIASES = {
|
||||
"nvidia",
|
||||
"nvidia-gateway",
|
||||
"nvidia_gateway",
|
||||
"nvidiavx18088980513",
|
||||
}
|
||||
|
||||
UNLIMITED_GATEWAY_ALIASES = {
|
||||
"volcengine",
|
||||
"volcengine-plan",
|
||||
"siliconflow",
|
||||
"deepseek",
|
||||
"deepseek-api",
|
||||
}
|
||||
|
||||
|
||||
def normalize_gateway_name(value: Optional[str]) -> Optional[str]:
|
||||
"""
|
||||
归一化网关/模型名称。
|
||||
|
||||
输入可以是：
|
||||
- provider: nvidia / volcengine-plan / siliconflow / deepseek
|
||||
- model: nvidiavx18088980513/deepseek-ai/deepseek-v4-pro
|
||||
- model: volcengine-plan/ark-code-latest
|
||||
|
||||
返回 provider 前缀的小写形式。未知则返回 None。
|
||||
"""
|
||||
if not value:
|
||||
return None
|
||||
text = str(value).strip().lower()
|
||||
if not text:
|
||||
return None
|
||||
return text.split("/", 1)[0]
|
||||
|
||||
|
||||
def is_nvidia_gateway(value: Optional[str]) -> bool:
|
||||
"""判断请求是否走 NVIDIA 网关。未知网关默认不限流。"""
|
||||
provider = normalize_gateway_name(value)
|
||||
if provider is None:
|
||||
return False
|
||||
if provider in NVIDIA_GATEWAY_ALIASES:
|
||||
return True
|
||||
if provider in UNLIMITED_GATEWAY_ALIASES:
|
||||
return False
|
||||
return provider.startswith("nvidia")
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# 优先级枚举
|
||||
# ============================================================================
|
||||
|
||||
class Priority(IntEnum):
|
||||
"""请求优先级：数值越小优先级越高"""
|
||||
URGENT = 1 # 紧急：Vincent 直接任务
|
||||
HIGH = 2 # 高：阻塞性任务
|
||||
NORMAL = 3 # 正常：常规任务
|
||||
LOW = 4 # 低：后台优化任务
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# 请求数据类
|
||||
# ============================================================================
|
||||
|
||||
@dataclass(order=True)
|
||||
class Request:
|
||||
"""优先级队列中的请求项"""
|
||||
priority: int
|
||||
timestamp: float = field(compare=False)
|
||||
request_id: str = field(compare=False)
|
||||
payload: Any = field(compare=False)
|
||||
callback: Optional[Callable] = field(compare=False, default=None)
|
||||
fallback_model: Optional[str] = field(compare=False, default=None)
|
||||
gateway: Optional[str] = field(compare=False, default=None)
|
||||
model: Optional[str] = field(compare=False, default=None)
|
||||
|
||||
def __post_init__(self):
|
||||
if self.timestamp is None:
|
||||
self.timestamp = time.time()
|
||||
if self.request_id is None:
|
||||
self.request_id = self._generate_id()
|
||||
|
||||
@staticmethod
|
||||
def _generate_id() -> str:
|
||||
"""生成请求 ID"""
|
||||
return hashlib.md5(f"{time.time()}-{threading.current_thread().ident}".encode()).hexdigest()[:12]
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# 令牌桶限流器
|
||||
# ============================================================================
|
||||
|
||||
class TokenBucket:
|
||||
"""
|
||||
NVIDIA 网关专用令牌桶限流器
|
||||
|
||||
注意：令牌桶本身只负责节流算法；是否启用由 RequestScheduler._should_rate_limit()
|
||||
按 gateway/model 判断。volcengine-plan、siliconflow、DeepSeek 等非 NVIDIA 网关不会进入此桶。
|
||||
|
||||
参数：
|
||||
rate: 令牌生成速率（个/秒），默认 40 RPM = 0.67 个/秒
|
||||
capacity: 桶容量（最大令牌数），默认 40
|
||||
"""
|
||||
|
||||
def __init__(self, rate: float = 40/60, capacity: int = 40):
|
||||
self.rate = rate # 令牌/秒
|
||||
self.capacity = capacity
|
||||
self.tokens = capacity
|
||||
self.last_update = time.time()
|
||||
self._lock = threading.Lock()
|
||||
|
||||
def _refill(self) -> None:
|
||||
"""补充令牌（内部调用，需要持有锁）"""
|
||||
now = time.time()
|
||||
elapsed = now - self.last_update
|
||||
new_tokens = elapsed * self.rate
|
||||
self.tokens = min(self.capacity, self.tokens + new_tokens)
|
||||
self.last_update = now
|
||||
|
||||
def consume(self, tokens: int = 1) -> bool:
|
||||
"""
|
||||
尝试消费令牌
|
||||
|
||||
返回：
|
||||
True: 成功消费
|
||||
False: 令牌不足
|
||||
"""
|
||||
with self._lock:
|
||||
self._refill()
|
||||
if self.tokens >= tokens:
|
||||
self.tokens -= tokens
|
||||
return True
|
||||
return False
|
||||
|
||||
def wait_for_token(self, timeout: Optional[float] = None) -> bool:
|
||||
"""
|
||||
等待直到有可用令牌
|
||||
|
||||
参数：
|
||||
timeout: 最大等待时间（秒），None 表示无限等待
|
||||
|
||||
返回：
|
||||
True: 成功获取令牌
|
||||
False: 超时
|
||||
"""
|
||||
start_time = time.time()
|
||||
while True:
|
||||
if self.consume():
|
||||
return True
|
||||
|
||||
if timeout is not None:
|
||||
elapsed = time.time() - start_time
|
||||
if elapsed >= timeout:
|
||||
return False
|
||||
|
||||
# 计算等待时间（直到下一个令牌生成）
|
||||
with self._lock:
|
||||
self._refill()
|
||||
if self.tokens < 1:
|
||||
wait_time = (1 - self.tokens) / self.rate
|
||||
else:
|
||||
wait_time = 0.01
|
||||
|
||||
# 等待后重试
|
||||
time_to_wait = min(wait_time, 0.1) # 最多等待 100ms
|
||||
if timeout is not None:
|
||||
remaining = timeout - (time.time() - start_time)
|
||||
if remaining <= 0:
|
||||
return False
|
||||
time_to_wait = min(time_to_wait, remaining)
|
||||
|
||||
time.sleep(time_to_wait)
|
||||
|
||||
def get_status(self) -> Dict[str, Any]:
|
||||
"""获取限流器状态"""
|
||||
with self._lock:
|
||||
self._refill()
|
||||
return {
|
||||
"tokens": round(self.tokens, 2),
|
||||
"capacity": self.capacity,
|
||||
"rate_per_second": round(self.rate, 3),
|
||||
"rate_per_minute": round(self.rate * 60, 1),
|
||||
"utilization": round(1 - self.tokens / self.capacity, 2)
|
||||
}
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# 缓存管理器
|
||||
# ============================================================================
|
||||
|
||||
@dataclass
|
||||
class CacheEntry:
|
||||
"""缓存条目"""
|
||||
value: Any
|
||||
expires_at: float
|
||||
created_at: float = field(default_factory=time.time)
|
||||
access_count: int = field(default=0)
|
||||
|
||||
|
||||
class CacheManager:
|
||||
"""
|
||||
查询结果缓存管理器
|
||||
|
||||
缓存策略：
|
||||
- WorkBoard 状态：5 分钟
|
||||
- Agent 配置：1 小时
|
||||
- 知识库内容：1 天
|
||||
- 用户信息：1 天
|
||||
"""
|
||||
|
||||
# 默认 TTL 配置（秒）
|
||||
DEFAULT_TTL = {
|
||||
"workboard": 5 * 60, # 5 分钟
|
||||
"config": 1 * 60 * 60, # 1 小时
|
||||
"knowledge": 24 * 60 * 60, # 1 天
|
||||
"user": 24 * 60 * 60, # 1 天
|
||||
}
|
||||
|
||||
def __init__(self):
|
||||
self._cache: Dict[str, CacheEntry] = {}
|
||||
self._lock = threading.Lock()
|
||||
|
||||
def _generate_key(self, category: str, query: Any) -> str:
|
||||
"""生成缓存键"""
|
||||
query_str = json.dumps(query, sort_keys=True) if not isinstance(query, str) else query
|
||||
return hashlib.md5(f"{category}:{query_str}".encode()).hexdigest()
|
||||
|
||||
def get(self, category: str, query: Any) -> Optional[Any]:
|
||||
"""
|
||||
获取缓存
|
||||
|
||||
参数：
|
||||
category: 缓存类别（workboard/config/knowledge/user）
|
||||
query: 查询条件（用于生成缓存键）
|
||||
|
||||
返回：
|
||||
缓存值，如果不存在或已过期则返回 None
|
||||
"""
|
||||
key = self._generate_key(category, query)
|
||||
|
||||
with self._lock:
|
||||
entry = self._cache.get(key)
|
||||
if entry is None:
|
||||
return None
|
||||
|
||||
# 检查是否过期
|
||||
if time.time() > entry.expires_at:
|
||||
del self._cache[key]
|
||||
return None
|
||||
|
||||
# 更新访问计数
|
||||
entry.access_count += 1
|
||||
return entry.value
|
||||
|
||||
def set(self, category: str, query: Any, value: Any, ttl: Optional[int] = None) -> None:
|
||||
"""
|
||||
设置缓存
|
||||
|
||||
参数：
|
||||
category: 缓存类别
|
||||
query: 查询条件
|
||||
value: 缓存值
|
||||
ttl: 存活时间（秒），None 表示使用默认值
|
||||
"""
|
||||
key = self._generate_key(category, query)
|
||||
|
||||
if ttl is None:
|
||||
ttl = self.DEFAULT_TTL.get(category, 300) # 默认 5 分钟
|
||||
|
||||
with self._lock:
|
||||
self._cache[key] = CacheEntry(
|
||||
value=value,
|
||||
expires_at=time.time() + ttl
|
||||
)
|
||||
|
||||
def delete(self, category: str, query: Any) -> bool:
|
||||
"""删除缓存"""
|
||||
key = self._generate_key(category, query)
|
||||
with self._lock:
|
||||
if key in self._cache:
|
||||
del self._cache[key]
|
||||
return True
|
||||
return False
|
||||
|
||||
def clear_expired(self) -> int:
|
||||
"""清理所有过期缓存，返回清理数量"""
|
||||
now = time.time()
|
||||
with self._lock:
|
||||
expired_keys = [k for k, v in self._cache.items() if now > v.expires_at]
|
||||
for key in expired_keys:
|
||||
del self._cache[key]
|
||||
return len(expired_keys)
|
||||
|
||||
def get_stats(self) -> Dict[str, Any]:
|
||||
"""获取缓存统计"""
|
||||
now = time.time()
|
||||
with self._lock:
|
||||
total = len(self._cache)
|
||||
expired = sum(1 for v in self._cache.values() if now > v.expires_at)
|
||||
|
||||
# 按类别统计
|
||||
by_category: Dict[str, int] = {}
|
||||
for key, entry in self._cache.items():
|
||||
# 从 key 中提取 category（格式：category:hash）
|
||||
category = key.split(":")[0] if ":" in key else "unknown"
|
||||
by_category[category] = by_category.get(category, 0) + 1
|
||||
|
||||
return {
|
||||
"total_entries": total,
|
||||
"expired_entries": expired,
|
||||
"valid_entries": total - expired,
|
||||
"by_category": by_category
|
||||
}
|
||||
|
||||
def clear(self) -> None:
|
||||
"""清空所有缓存"""
|
||||
with self._lock:
|
||||
self._cache.clear()
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# 请求调度器
|
||||
# ============================================================================
|
||||
|
||||
class RequestScheduler:
|
||||
"""
|
||||
请求调度器：结合优先级队列和令牌桶限流
|
||||
|
||||
功能：
|
||||
1. 接收不同优先级的请求
|
||||
2. 按优先级和 FIF0 顺序调度
|
||||
3. 通过令牌桶控制发送速率
|
||||
4. 支持降级策略（低优先级切备用模型）
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
rate: float = 40/60,
|
||||
capacity: int = 40,
|
||||
enable_cache: bool = True
|
||||
):
|
||||
self.token_bucket = TokenBucket(rate=rate, capacity=capacity)
|
||||
self.cache = CacheManager() if enable_cache else None
|
||||
|
||||
# 优先级队列（使用 heap 实现）
|
||||
self.request_queue: queue.PriorityQueue[Request] = queue.PriorityQueue()
|
||||
|
||||
# 工作线程
|
||||
self._worker_thread: Optional[threading.Thread] = None
|
||||
self._running = False
|
||||
self._lock = threading.Lock()
|
||||
|
||||
# 统计信息
|
||||
self.stats = {
|
||||
"total_requests": 0,
|
||||
"completed_requests": 0,
|
||||
"failed_requests": 0,
|
||||
"fallback_requests": 0,
|
||||
"cache_hits": 0,
|
||||
"cache_misses": 0,
|
||||
}
|
||||
|
||||
def start(self) -> None:
|
||||
"""启动调度器工作线程"""
|
||||
if self._running:
|
||||
return
|
||||
|
||||
self._running = True
|
||||
self._worker_thread = threading.Thread(target=self._worker_loop, daemon=True)
|
||||
self._worker_thread.start()
|
||||
|
||||
def stop(self) -> None:
|
||||
"""停止调度器"""
|
||||
self._running = False
|
||||
if self._worker_thread:
|
||||
self._worker_thread.join(timeout=5.0)
|
||||
|
||||
def _worker_loop(self) -> None:
|
||||
"""工作线程主循环"""
|
||||
while self._running:
|
||||
try:
|
||||
# 从队列获取请求（带超时）
|
||||
request = self.request_queue.get(timeout=1.0)
|
||||
self._process_request(request)
|
||||
except queue.Empty:
|
||||
continue
|
||||
except Exception as e:
|
||||
# 记录错误但不中断工作线程
|
||||
print(f"[RequestScheduler] Worker error: {e}")
|
||||
|
||||
def _extract_gateway_hint(self, request: Request) -> Optional[str]:
|
||||
"""从 request.gateway / request.model / payload 中提取网关提示。"""
|
||||
if request.gateway:
|
||||
return request.gateway
|
||||
if request.model:
|
||||
return request.model
|
||||
if isinstance(request.payload, dict):
|
||||
for key in ("gateway", "provider", "model", "model_id"):
|
||||
value = request.payload.get(key)
|
||||
if value:
|
||||
return str(value)
|
||||
return None
|
||||
|
||||
def _should_rate_limit(self, request: Request) -> bool:
|
||||
"""
|
||||
只对 NVIDIA 网关请求启用令牌桶。
|
||||
|
||||
设计原则：未知网关默认不限制，避免误伤 volcengine-plan / siliconflow / DeepSeek
|
||||
等其他 API 网关。要被限流，调用方必须显式传 gateway/model，且能识别为 NVIDIA。
|
||||
"""
|
||||
return is_nvidia_gateway(self._extract_gateway_hint(request))
|
||||
|
||||
def _process_request(self, request: Request) -> None:
|
||||
"""
|
||||
处理单个请求
|
||||
|
||||
策略：
|
||||
1. 高优先级（URGENT/HIGH）：等待令牌
|
||||
2. 低优先级（NORMAL/LOW）：尝试获取令牌，失败则降级或丢弃
|
||||
"""
|
||||
self.stats["total_requests"] += 1
|
||||
|
||||
# 只对 NVIDIA 网关请求启用令牌桶；其他网关直接执行
|
||||
if not self._should_rate_limit(request):
|
||||
self._execute_request(request)
|
||||
return
|
||||
|
||||
# NVIDIA 网关请求：尝试获取令牌
|
||||
if request.priority <= Priority.HIGH:
|
||||
# 高优先级：无限等待
|
||||
got_token = self.token_bucket.wait_for_token(timeout=None)
|
||||
else:
|
||||
# 低优先级：最多等待 2 秒
|
||||
got_token = self.token_bucket.wait_for_token(timeout=2.0)
|
||||
|
||||
if got_token:
|
||||
# 成功获取令牌，执行请求
|
||||
self._execute_request(request)
|
||||
else:
|
||||
# 未能获取令牌，执行降级策略
|
||||
self._handle_fallback(request)
|
||||
|
||||
def _execute_request(self, request: Request) -> None:
|
||||
"""执行请求"""
|
||||
try:
|
||||
if request.callback:
|
||||
result = request.callback(request.payload)
|
||||
self.stats["completed_requests"] += 1
|
||||
return result
|
||||
else:
|
||||
self.stats["completed_requests"] += 1
|
||||
except Exception as e:
|
||||
self.stats["failed_requests"] += 1
|
||||
print(f"[RequestScheduler] Request {request.request_id} failed: {e}")
|
||||
raise
|
||||
|
||||
def _handle_fallback(self, request: Request) -> None:
|
||||
"""处理降级（令牌不足）"""
|
||||
self.stats["fallback_requests"] += 1
|
||||
|
||||
if request.priority == Priority.LOW:
|
||||
# 低优先级：直接丢弃或切换到备用模型
|
||||
print(f"[RequestScheduler] Low priority request {request.request_id} dropped due to rate limit")
|
||||
else:
|
||||
# 正常优先级：放回队列稍后重试
|
||||
request.timestamp = time.time()
|
||||
self.request_queue.put(request)
|
||||
|
||||
def submit(
|
||||
self,
|
||||
payload: Any,
|
||||
priority: Priority = Priority.NORMAL,
|
||||
callback: Optional[Callable] = None,
|
||||
fallback_model: Optional[str] = None,
|
||||
request_id: Optional[str] = None,
|
||||
gateway: Optional[str] = None,
|
||||
model: Optional[str] = None
|
||||
) -> str:
|
||||
"""
|
||||
提交请求到调度队列
|
||||
|
||||
参数：
|
||||
payload: 请求数据
|
||||
priority: 优先级
|
||||
callback: 回调函数
|
||||
fallback_model: 备用模型名称
|
||||
request_id: 请求 ID（可选，默认自动生成）
|
||||
|
||||
返回：
|
||||
请求 ID
|
||||
"""
|
||||
req = Request(
|
||||
priority=priority,
|
||||
timestamp=time.time(),
|
||||
request_id=request_id,
|
||||
payload=payload,
|
||||
callback=callback,
|
||||
fallback_model=fallback_model,
|
||||
gateway=gateway,
|
||||
model=model
|
||||
)
|
||||
|
||||
self.request_queue.put(req)
|
||||
return req.request_id
|
||||
|
||||
def submit_sync(
|
||||
self,
|
||||
payload: Any,
|
||||
priority: Priority = Priority.NORMAL,
|
||||
timeout: Optional[float] = None
|
||||
) -> Any:
|
||||
"""
|
||||
同步提交并等待结果
|
||||
|
||||
参数：
|
||||
payload: 请求数据
|
||||
priority: 优先级
|
||||
timeout: 超时时间（秒）
|
||||
|
||||
返回：
|
||||
请求结果
|
||||
"""
|
||||
result_holder = {"result": None, "error": None, "done": False}
|
||||
condition = threading.Condition()
|
||||
|
||||
def callback(data):
|
||||
with condition:
|
||||
try:
|
||||
# 实际执行逻辑（这里只是一个占位符）
|
||||
result_holder["result"] = data
|
||||
except Exception as e:
|
||||
result_holder["error"] = e
|
||||
finally:
|
||||
result_holder["done"] = True
|
||||
condition.notify_all()
|
||||
|
||||
# 提交请求
|
||||
self.submit(payload=payload, priority=priority, callback=lambda _: callback(payload))
|
||||
|
||||
# 等待结果
|
||||
with condition:
|
||||
if not result_holder["done"]:
|
||||
condition.wait(timeout=timeout)
|
||||
|
||||
if result_holder["error"]:
|
||||
raise result_holder["error"]
|
||||
return result_holder["result"]
|
||||
|
||||
def get_queue_size(self) -> int:
|
||||
"""获取当前队列大小"""
|
||||
return self.request_queue.qsize()
|
||||
|
||||
def get_status(self) -> Dict[str, Any]:
|
||||
"""获取调度器状态"""
|
||||
return {
|
||||
"running": self._running,
|
||||
"queue_size": self.get_queue_size(),
|
||||
"token_bucket": self.token_bucket.get_status(),
|
||||
"cache": self.cache.get_stats() if self.cache else None,
|
||||
"stats": self.stats.copy()
|
||||
}
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# 重试装饰器
|
||||
# ============================================================================
|
||||
|
||||
def retry_with_backoff(
|
||||
max_retries: int = 3,
|
||||
base_delay: float = 1.0,
|
||||
exponential_base: int = 2,
|
||||
jitter: bool = True,
|
||||
exceptions: Tuple = (Exception,)
|
||||
):
|
||||
"""
|
||||
指数退避重试装饰器
|
||||
|
||||
参数：
|
||||
max_retries: 最大重试次数
|
||||
base_delay: 基础延迟（秒）
|
||||
exponential_base: 指数底数
|
||||
jitter: 是否添加随机抖动
|
||||
exceptions: 需要重试的异常类型
|
||||
"""
|
||||
import random
|
||||
|
||||
def decorator(func: Callable) -> Callable:
|
||||
def wrapper(*args, **kwargs):
|
||||
last_exception = None
|
||||
|
||||
for attempt in range(max_retries + 1):
|
||||
try:
|
||||
return func(*args, **kwargs)
|
||||
except exceptions as e:
|
||||
last_exception = e
|
||||
|
||||
if attempt == max_retries:
|
||||
break
|
||||
|
||||
# 计算延迟时间
|
||||
delay = base_delay * (exponential_base ** attempt)
|
||||
if jitter:
|
||||
delay += random.uniform(0, base_delay)
|
||||
|
||||
print(f"[retry_with_backoff] Attempt {attempt + 1} failed: {e}. Retrying in {delay:.2f}s...")
|
||||
time.sleep(delay)
|
||||
|
||||
raise last_exception
|
||||
|
||||
return wrapper
|
||||
return decorator
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# COO 统一轮询器（请求合并）
|
||||
# ============================================================================
|
||||
|
||||
class CoordinatedPoller:
|
||||
"""
|
||||
COO 统一轮询器：替代各 Agent 独立轮询
|
||||
|
||||
功能：
|
||||
1. 定期轮询 WorkBoard
|
||||
2. 广播结果给所有订阅者
|
||||
3. 减少总请求数（40 RPM × N → 40 RPM）
|
||||
"""
|
||||
|
||||
def __init__(self, scheduler: RequestScheduler, poll_interval: int = 15*60):
|
||||
self.scheduler = scheduler
|
||||
self.poll_interval = poll_interval # 轮询间隔（秒）
|
||||
self._subscribers: List[Callable] = []
|
||||
self._running = False
|
||||
self._worker: Optional[threading.Thread] = None
|
||||
|
||||
def subscribe(self, callback: Callable) -> None:
|
||||
"""订阅轮询结果"""
|
||||
self._subscribers.append(callback)
|
||||
|
||||
def unsubscribe(self, callback: Callable) -> None:
|
||||
"""取消订阅"""
|
||||
if callback in self._subscribers:
|
||||
self._subscribers.remove(callback)
|
||||
|
||||
def start(self) -> None:
|
||||
"""启动轮询器"""
|
||||
if self._running:
|
||||
return
|
||||
|
||||
self._running = True
|
||||
self._worker = threading.Thread(target=self._poll_loop, daemon=True)
|
||||
self._worker.start()
|
||||
|
||||
def stop(self) -> None:
|
||||
"""停止轮询器"""
|
||||
self._running = False
|
||||
if self._worker:
|
||||
self._worker.join(timeout=5.0)
|
||||
|
||||
def _poll_loop(self) -> None:
|
||||
"""轮询主循环"""
|
||||
while self._running:
|
||||
try:
|
||||
# 执行轮询（这里只是一个框架，实际逻辑需要接入 multica CLI）
|
||||
result = self._perform_poll()
|
||||
|
||||
# 广播给所有订阅者
|
||||
for subscriber in self._subscribers:
|
||||
try:
|
||||
subscriber(result)
|
||||
except Exception as e:
|
||||
print(f"[CoordinatedPoller] Subscriber callback error: {e}")
|
||||
|
||||
except Exception as e:
|
||||
print(f"[CoordinatedPoller] Poll error: {e}")
|
||||
|
||||
# 等待下一个轮询周期
|
||||
time.sleep(self.poll_interval)
|
||||
|
||||
def _perform_poll(self) -> Dict[str, Any]:
|
||||
"""
|
||||
执行实际轮询
|
||||
|
||||
TODO: 接入 multica CLI:
|
||||
- multica issue list --status in_progress
|
||||
- multica workboard list
|
||||
"""
|
||||
# 这里应该调用 multica CLI
|
||||
# 当前只是返回一个示例结果
|
||||
return {
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"issues": [],
|
||||
"workboard_cards": []
|
||||
}
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# 使用示例
|
||||
# ============================================================================
|
||||
|
||||
if __name__ == "__main__":
|
||||
# 创建调度器（40 RPM）
|
||||
scheduler = RequestScheduler(rate=40/60, capacity=40)
|
||||
scheduler.start()
|
||||
|
||||
# 示例：提交不同优先级的请求
|
||||
def sample_callback(data):
|
||||
print(f"Processing: {data}")
|
||||
time.sleep(0.5) # 模拟处理时间
|
||||
return "OK"
|
||||
|
||||
# 紧急请求
|
||||
scheduler.submit(
|
||||
payload={"task": "urgent_task"},
|
||||
priority=Priority.URGENT,
|
||||
callback=sample_callback
|
||||
)
|
||||
|
||||
# 正常请求
|
||||
scheduler.submit(
|
||||
payload={"task": "normal_task"},
|
||||
priority=Priority.NORMAL,
|
||||
callback=sample_callback
|
||||
)
|
||||
|
||||
# 低优先级请求
|
||||
scheduler.submit(
|
||||
payload={"task": "low_priority_task"},
|
||||
priority=Priority.LOW,
|
||||
callback=sample_callback
|
||||
)
|
||||
|
||||
# 等待处理完成
|
||||
time.sleep(2)
|
||||
|
||||
# 查看状态
|
||||
print("\n=== Scheduler Status ===")
|
||||
print(json.dumps(scheduler.get_status(), indent=2))
|
||||
|
||||
# 停止调度器
|
||||
scheduler.stop()
|
||||
|
||||
print("\n示例运行完成")
|
||||
Reference in New Issue
Block a user