""" OASIS模拟运行器 在后台运行模拟并记录每个Agent的动作，支持实时状态监控 """ import os import sys import json import time import asyncio import threading import subprocess from typing import Dict, Any, List, Optional from dataclasses import dataclass, field from datetime import datetime from enum import Enum from queue import Queue from ..config import Config from ..utils.logger import get_logger logger = get_logger('mirofish.simulation_runner') class RunnerStatus(str, Enum): """运行器状态""" IDLE = "idle" STARTING = "starting" RUNNING = "running" PAUSED = "paused" STOPPING = "stopping" STOPPED = "stopped" COMPLETED = "completed" FAILED = "failed" @dataclass class AgentAction: """Agent动作记录""" round_num: int timestamp: str platform: str # twitter / reddit agent_id: int agent_name: str action_type: str # CREATE_POST, LIKE_POST, etc. action_args: Dict[str, Any] = field(default_factory=dict) result: Optional[str] = None success: bool = True def to_dict(self) -> Dict[str, Any]: return { "round_num": self.round_num, "timestamp": self.timestamp, "platform": self.platform, "agent_id": self.agent_id, "agent_name": self.agent_name, "action_type": self.action_type, "action_args": self.action_args, "result": self.result, "success": self.success, } @dataclass class RoundSummary: """每轮摘要""" round_num: int start_time: str end_time: Optional[str] = None simulated_hour: int = 0 twitter_actions: int = 0 reddit_actions: int = 0 active_agents: List[int] = field(default_factory=list) actions: List[AgentAction] = field(default_factory=list) def to_dict(self) -> Dict[str, Any]: return { "round_num": self.round_num, "start_time": self.start_time, "end_time": self.end_time, "simulated_hour": self.simulated_hour, "twitter_actions": self.twitter_actions, "reddit_actions": self.reddit_actions, "active_agents": self.active_agents, "actions_count": len(self.actions), "actions": [a.to_dict() for a in self.actions], } @dataclass class SimulationRunState: """模拟运行状态（实时）""" simulation_id: str runner_status: RunnerStatus = RunnerStatus.IDLE # 进度信息 current_round: int = 0 total_rounds: int = 0 simulated_hours: int = 0 total_simulation_hours: int = 0 # 平台状态 twitter_running: bool = False reddit_running: bool = False twitter_actions_count: int = 0 reddit_actions_count: int = 0 # 每轮摘要 rounds: List[RoundSummary] = field(default_factory=list) # 最近动作（用于前端实时展示） recent_actions: List[AgentAction] = field(default_factory=list) max_recent_actions: int = 50 # 时间戳 started_at: Optional[str] = None updated_at: str = field(default_factory=lambda: datetime.now().isoformat()) completed_at: Optional[str] = None # 错误信息 error: Optional[str] = None # 进程ID（用于停止） process_pid: Optional[int] = None def add_action(self, action: AgentAction): """添加动作到最近动作列表""" self.recent_actions.insert(0, action) if len(self.recent_actions) > self.max_recent_actions: self.recent_actions = self.recent_actions[:self.max_recent_actions] if action.platform == "twitter": self.twitter_actions_count += 1 else: self.reddit_actions_count += 1 self.updated_at = datetime.now().isoformat() def to_dict(self) -> Dict[str, Any]: return { "simulation_id": self.simulation_id, "runner_status": self.runner_status.value, "current_round": self.current_round, "total_rounds": self.total_rounds, "simulated_hours": self.simulated_hours, "total_simulation_hours": self.total_simulation_hours, "progress_percent": round(self.current_round / max(self.total_rounds, 1) * 100, 1), "twitter_running": self.twitter_running, "reddit_running": self.reddit_running, "twitter_actions_count": self.twitter_actions_count, "reddit_actions_count": self.reddit_actions_count, "total_actions_count": self.twitter_actions_count + self.reddit_actions_count, "started_at": self.started_at, "updated_at": self.updated_at, "completed_at": self.completed_at, "error": self.error, "process_pid": self.process_pid, } def to_detail_dict(self) -> Dict[str, Any]: """包含最近动作的详细信息""" result = self.to_dict() result["recent_actions"] = [a.to_dict() for a in self.recent_actions] result["rounds_count"] = len(self.rounds) return result class SimulationRunner: """ 模拟运行器 负责： 1. 在后台进程中运行OASIS模拟 2. 解析运行日志，记录每个Agent的动作 3. 提供实时状态查询接口 4. 支持暂停/停止/恢复操作 """ # 运行状态存储目录 RUN_STATE_DIR = os.path.join( os.path.dirname(__file__), '../../uploads/simulations' ) # 脚本目录 SCRIPTS_DIR = os.path.join( os.path.dirname(__file__), '../../scripts' ) # 内存中的运行状态 _run_states: Dict[str, SimulationRunState] = {} _processes: Dict[str, subprocess.Popen] = {} _action_queues: Dict[str, Queue] = {} _monitor_threads: Dict[str, threading.Thread] = {} _stdout_files: Dict[str, Any] = {} # 存储 stdout 文件句柄 _stderr_files: Dict[str, Any] = {} # 存储 stderr 文件句柄 @classmethod def get_run_state(cls, simulation_id: str) -> Optional[SimulationRunState]: """获取运行状态""" if simulation_id in cls._run_states: return cls._run_states[simulation_id] # 尝试从文件加载 state = cls._load_run_state(simulation_id) if state: cls._run_states[simulation_id] = state return state @classmethod def _load_run_state(cls, simulation_id: str) -> Optional[SimulationRunState]: """从文件加载运行状态""" state_file = os.path.join(cls.RUN_STATE_DIR, simulation_id, "run_state.json") if not os.path.exists(state_file): return None try: with open(state_file, 'r', encoding='utf-8') as f: data = json.load(f) state = SimulationRunState( simulation_id=simulation_id, runner_status=RunnerStatus(data.get("runner_status", "idle")), current_round=data.get("current_round", 0), total_rounds=data.get("total_rounds", 0), simulated_hours=data.get("simulated_hours", 0), total_simulation_hours=data.get("total_simulation_hours", 0), twitter_running=data.get("twitter_running", False), reddit_running=data.get("reddit_running", False), twitter_actions_count=data.get("twitter_actions_count", 0), reddit_actions_count=data.get("reddit_actions_count", 0), started_at=data.get("started_at"), updated_at=data.get("updated_at", datetime.now().isoformat()), completed_at=data.get("completed_at"), error=data.get("error"), process_pid=data.get("process_pid"), ) # 加载最近动作 actions_data = data.get("recent_actions", []) for a in actions_data: state.recent_actions.append(AgentAction( round_num=a.get("round_num", 0), timestamp=a.get("timestamp", ""), platform=a.get("platform", ""), agent_id=a.get("agent_id", 0), agent_name=a.get("agent_name", ""), action_type=a.get("action_type", ""), action_args=a.get("action_args", {}), result=a.get("result"), success=a.get("success", True), )) return state except Exception as e: logger.error(f"加载运行状态失败: {str(e)}") return None @classmethod def _save_run_state(cls, state: SimulationRunState): """保存运行状态到文件""" sim_dir = os.path.join(cls.RUN_STATE_DIR, state.simulation_id) os.makedirs(sim_dir, exist_ok=True) state_file = os.path.join(sim_dir, "run_state.json") data = state.to_detail_dict() with open(state_file, 'w', encoding='utf-8') as f: json.dump(data, f, ensure_ascii=False, indent=2) cls._run_states[state.simulation_id] = state @classmethod def start_simulation( cls, simulation_id: str, platform: str = "parallel" # twitter / reddit / parallel ) -> SimulationRunState: """ 启动模拟 Args: simulation_id: 模拟ID platform: 运行平台 (twitter/reddit/parallel) Returns: SimulationRunState """ # 检查是否已在运行 existing = cls.get_run_state(simulation_id) if existing and existing.runner_status in [RunnerStatus.RUNNING, RunnerStatus.STARTING]: raise ValueError(f"模拟已在运行中: {simulation_id}") # 加载模拟配置 sim_dir = os.path.join(cls.RUN_STATE_DIR, simulation_id) config_path = os.path.join(sim_dir, "simulation_config.json") if not os.path.exists(config_path): raise ValueError(f"模拟配置不存在，请先调用 /prepare 接口") with open(config_path, 'r', encoding='utf-8') as f: config = json.load(f) # 初始化运行状态 time_config = config.get("time_config", {}) total_hours = time_config.get("total_simulation_hours", 72) minutes_per_round = time_config.get("minutes_per_round", 30) total_rounds = int(total_hours * 60 / minutes_per_round) state = SimulationRunState( simulation_id=simulation_id, runner_status=RunnerStatus.STARTING, total_rounds=total_rounds, total_simulation_hours=total_hours, started_at=datetime.now().isoformat(), ) cls._save_run_state(state) # 确定运行哪个脚本（脚本位于 backend/scripts/ 目录） if platform == "twitter": script_name = "run_twitter_simulation.py" state.twitter_running = True elif platform == "reddit": script_name = "run_reddit_simulation.py" state.reddit_running = True else: script_name = "run_parallel_simulation.py" state.twitter_running = True state.reddit_running = True script_path = os.path.join(cls.SCRIPTS_DIR, script_name) if not os.path.exists(script_path): raise ValueError(f"脚本不存在: {script_path}") # 创建动作队列 action_queue = Queue() cls._action_queues[simulation_id] = action_queue # 启动模拟进程 try: # 构建运行命令，使用完整路径 action_log_path = os.path.join(sim_dir, "actions.jsonl") cmd = [ sys.executable, # Python解释器 script_path, "--config", config_path, # 使用完整配置文件路径 "--action-log", action_log_path, # 动作日志文件完整路径 ] # 创建输出日志文件，避免 stdout/stderr 管道缓冲区满导致进程阻塞 stdout_log_path = os.path.join(sim_dir, "simulation_stdout.log") stderr_log_path = os.path.join(sim_dir, "simulation_stderr.log") stdout_file = open(stdout_log_path, 'w', encoding='utf-8') stderr_file = open(stderr_log_path, 'w', encoding='utf-8') # 设置工作目录为模拟目录（数据库等文件会生成在此） process = subprocess.Popen( cmd, cwd=sim_dir, stdout=stdout_file, stderr=stderr_file, text=True, bufsize=1, ) # 保存文件句柄以便后续关闭 cls._stdout_files[simulation_id] = stdout_file cls._stderr_files[simulation_id] = stderr_file state.process_pid = process.pid state.runner_status = RunnerStatus.RUNNING cls._processes[simulation_id] = process cls._save_run_state(state) # 启动监控线程 monitor_thread = threading.Thread( target=cls._monitor_simulation, args=(simulation_id,), daemon=True ) monitor_thread.start() cls._monitor_threads[simulation_id] = monitor_thread logger.info(f"模拟启动成功: {simulation_id}, pid={process.pid}, platform={platform}") except Exception as e: state.runner_status = RunnerStatus.FAILED state.error = str(e) cls._save_run_state(state) raise return state @classmethod def _monitor_simulation(cls, simulation_id: str): """监控模拟进程，解析动作日志""" sim_dir = os.path.join(cls.RUN_STATE_DIR, simulation_id) actions_log = os.path.join(sim_dir, "actions.jsonl") process = cls._processes.get(simulation_id) state = cls.get_run_state(simulation_id) if not process or not state: return last_position = 0 try: while process.poll() is None: # 进程仍在运行 # 读取动作日志 if os.path.exists(actions_log): with open(actions_log, 'r', encoding='utf-8') as f: f.seek(last_position) for line in f: line = line.strip() if line: try: action_data = json.loads(line) action = AgentAction( round_num=action_data.get("round", 0), timestamp=action_data.get("timestamp", datetime.now().isoformat()), platform=action_data.get("platform", "unknown"), agent_id=action_data.get("agent_id", 0), agent_name=action_data.get("agent_name", ""), action_type=action_data.get("action_type", ""), action_args=action_data.get("action_args", {}), result=action_data.get("result"), success=action_data.get("success", True), ) state.add_action(action) # 更新轮次 if action.round_num > state.current_round: state.current_round = action.round_num except json.JSONDecodeError: pass last_position = f.tell() # 定期保存状态 cls._save_run_state(state) time.sleep(1) # 每秒检查一次 # 进程结束 exit_code = process.returncode if exit_code == 0: state.runner_status = RunnerStatus.COMPLETED state.completed_at = datetime.now().isoformat() logger.info(f"模拟完成: {simulation_id}") else: state.runner_status = RunnerStatus.FAILED # 从 stderr 日志文件读取错误信息 stderr_log_path = os.path.join(sim_dir, "simulation_stderr.log") stderr = "" try: if os.path.exists(stderr_log_path): with open(stderr_log_path, 'r', encoding='utf-8') as f: stderr = f.read() except Exception: pass state.error = f"进程退出码: {exit_code}, 错误: {stderr[-1000:]}" # 取最后1000字符 logger.error(f"模拟失败: {simulation_id}, error={state.error}") state.twitter_running = False state.reddit_running = False cls._save_run_state(state) except Exception as e: logger.error(f"监控线程异常: {simulation_id}, error={str(e)}") state.runner_status = RunnerStatus.FAILED state.error = str(e) cls._save_run_state(state) finally: # 清理进程资源 cls._processes.pop(simulation_id, None) cls._action_queues.pop(simulation_id, None) # 关闭日志文件句柄 if simulation_id in cls._stdout_files: try: cls._stdout_files[simulation_id].close() except Exception: pass cls._stdout_files.pop(simulation_id, None) if simulation_id in cls._stderr_files: try: cls._stderr_files[simulation_id].close() except Exception: pass cls._stderr_files.pop(simulation_id, None) @classmethod def stop_simulation(cls, simulation_id: str) -> SimulationRunState: """停止模拟""" state = cls.get_run_state(simulation_id) if not state: raise ValueError(f"模拟不存在: {simulation_id}") if state.runner_status not in [RunnerStatus.RUNNING, RunnerStatus.PAUSED]: raise ValueError(f"模拟未在运行: {simulation_id}, status={state.runner_status}") state.runner_status = RunnerStatus.STOPPING cls._save_run_state(state) # 终止进程 process = cls._processes.get(simulation_id) if process: process.terminate() try: process.wait(timeout=10) except subprocess.TimeoutExpired: process.kill() state.runner_status = RunnerStatus.STOPPED state.twitter_running = False state.reddit_running = False state.completed_at = datetime.now().isoformat() cls._save_run_state(state) logger.info(f"模拟已停止: {simulation_id}") return state @classmethod def get_actions( cls, simulation_id: str, limit: int = 100, offset: int = 0, platform: Optional[str] = None, agent_id: Optional[int] = None, round_num: Optional[int] = None ) -> List[AgentAction]: """ 获取动作历史 Args: simulation_id: 模拟ID limit: 返回数量限制 offset: 偏移量 platform: 过滤平台 agent_id: 过滤Agent round_num: 过滤轮次 Returns: 动作列表 """ sim_dir = os.path.join(cls.RUN_STATE_DIR, simulation_id) actions_log = os.path.join(sim_dir, "actions.jsonl") if not os.path.exists(actions_log): return [] actions = [] with open(actions_log, 'r', encoding='utf-8') as f: for line in f: line = line.strip() if not line: continue try: data = json.loads(line) # 过滤 if platform and data.get("platform") != platform: continue if agent_id is not None and data.get("agent_id") != agent_id: continue if round_num is not None and data.get("round") != round_num: continue actions.append(AgentAction( round_num=data.get("round", 0), timestamp=data.get("timestamp", ""), platform=data.get("platform", ""), agent_id=data.get("agent_id", 0), agent_name=data.get("agent_name", ""), action_type=data.get("action_type", ""), action_args=data.get("action_args", {}), result=data.get("result"), success=data.get("success", True), )) except json.JSONDecodeError: continue # 按时间倒序排列 actions.reverse() # 分页 return actions[offset:offset + limit] @classmethod def get_timeline( cls, simulation_id: str, start_round: int = 0, end_round: Optional[int] = None ) -> List[Dict[str, Any]]: """ 获取模拟时间线（按轮次汇总） Args: simulation_id: 模拟ID start_round: 起始轮次 end_round: 结束轮次 Returns: 每轮的汇总信息 """ actions = cls.get_actions(simulation_id, limit=10000) # 按轮次分组 rounds: Dict[int, Dict[str, Any]] = {} for action in actions: round_num = action.round_num if round_num < start_round: continue if end_round is not None and round_num > end_round: continue if round_num not in rounds: rounds[round_num] = { "round_num": round_num, "twitter_actions": 0, "reddit_actions": 0, "active_agents": set(), "action_types": {}, "first_action_time": action.timestamp, "last_action_time": action.timestamp, } r = rounds[round_num] if action.platform == "twitter": r["twitter_actions"] += 1 else: r["reddit_actions"] += 1 r["active_agents"].add(action.agent_id) r["action_types"][action.action_type] = r["action_types"].get(action.action_type, 0) + 1 r["last_action_time"] = action.timestamp # 转换为列表 result = [] for round_num in sorted(rounds.keys()): r = rounds[round_num] result.append({ "round_num": round_num, "twitter_actions": r["twitter_actions"], "reddit_actions": r["reddit_actions"], "total_actions": r["twitter_actions"] + r["reddit_actions"], "active_agents_count": len(r["active_agents"]), "active_agents": list(r["active_agents"]), "action_types": r["action_types"], "first_action_time": r["first_action_time"], "last_action_time": r["last_action_time"], }) return result @classmethod def get_agent_stats(cls, simulation_id: str) -> List[Dict[str, Any]]: """ 获取每个Agent的统计信息 Returns: Agent统计列表 """ actions = cls.get_actions(simulation_id, limit=10000) agent_stats: Dict[int, Dict[str, Any]] = {} for action in actions: agent_id = action.agent_id if agent_id not in agent_stats: agent_stats[agent_id] = { "agent_id": agent_id, "agent_name": action.agent_name, "total_actions": 0, "twitter_actions": 0, "reddit_actions": 0, "action_types": {}, "first_action_time": action.timestamp, "last_action_time": action.timestamp, } stats = agent_stats[agent_id] stats["total_actions"] += 1 if action.platform == "twitter": stats["twitter_actions"] += 1 else: stats["reddit_actions"] += 1 stats["action_types"][action.action_type] = stats["action_types"].get(action.action_type, 0) + 1 stats["last_action_time"] = action.timestamp # 按总动作数排序 result = sorted(agent_stats.values(), key=lambda x: x["total_actions"], reverse=True) return result