"""简单任务 API：将聊天任务与 WebSocket 解耦，支持后台运行与轮询。""" from __future__ import annotations from server.tasks import tasks_bp import mimetypes import json import time import threading import uuid import re from collections import deque from pathlib import Path from typing import Dict, Any, Optional, List from flask import Blueprint, request, jsonify from flask import current_app, session from server.auth_helpers import api_login_required, get_current_username from server.context import get_user_resources, ensure_conversation_loaded from server.chat_flow import run_chat_task_sync from server.work_timer import finalize_conversation_work_timer from server.state import stop_flags from server.utils_common import debug_log, log_conn_diag from utils.host_workspace_debug import write_host_workspace_debug from config import DATA_DIR, WORKSPACE_SKILLS_DIRNAME from modules.goal_state_manager import GoalStateManager, REASON_USER_CANCEL from modules.sub_agent.state import TERMINAL_STATUSES as SUB_AGENT_TERMINAL_STATUSES from modules.background_command_manager import BackgroundCommandManager, TERMINAL_STATUSES as BG_COMMAND_TERMINAL_STATUSES SKILL_FRONTMATTER_RE = re.compile(r"^---\s*\n(?P.*?)\n---\s*\n?", re.S) SKILL_FIELD_RE = re.compile(r"^(?Pname|description)\s*:\s*(?P.*)$") class TaskRecord: __slots__ = ( "task_id", "username", "workspace_id", "status", "created_at", "updated_at", "message", "conversation_id", "events", "thread", "error", "model_key", "thinking_mode", "run_mode", "max_iterations", "session_data", "stop_requested", "next_event_idx", "runtime_pending_queue", "runtime_guidance_queue", "last_cancel_at", "task_type", ) def __init__( self, task_id: str, username: str, workspace_id: str, message: str, conversation_id: Optional[str], model_key: Optional[str], thinking_mode: Optional[bool], run_mode: Optional[str], max_iterations: Optional[int], task_type: str = "chat", ): self.task_id = task_id self.username = username self.workspace_id = workspace_id self.status = "pending" self.created_at = time.time() self.updated_at = self.created_at self.message = message self.conversation_id = conversation_id # 刷新恢复时前端会从事件流重建进行中的输出，1000 在长流式回复下会过早截断， # 导致“只恢复最后几个字符”。这里提高缓冲上限，优先保证重建完整性。 self.events: deque[Dict[str, Any]] = deque(maxlen=20000) self.thread: Optional[threading.Thread] = None self.error: Optional[str] = None self.model_key = model_key self.thinking_mode = thinking_mode self.run_mode = run_mode self.max_iterations = max_iterations self.session_data: Dict[str, Any] = {} self.stop_requested: bool = False self.next_event_idx: int = 0 self.runtime_pending_queue: List[Dict[str, Any]] = [] self.runtime_guidance_queue: List[str] = [] self.last_cancel_at: Optional[float] = None self.task_type = task_type class TaskManager: """线程内存版任务管理器，后续可替换为 Redis/DB。""" def __init__(self): self._tasks: Dict[str, TaskRecord] = {} self._lock = threading.Lock() def cleanup_old_tasks(self, max_age_seconds: int = 3600) -> int: """清理超过指定时间的已完成任务""" now = time.time() with self._lock: to_remove = [] for task_id, rec in self._tasks.items(): if rec.status in {"succeeded", "failed", "canceled"}: age = now - rec.updated_at if age > max_age_seconds: to_remove.append(task_id) for task_id in to_remove: del self._tasks[task_id] return len(to_remove) # ---- public APIs ---- def create_chat_task( self, username: str, workspace_id: str, message: str, images: List[Any], conversation_id: Optional[str], videos: Optional[List[Any]] = None, model_key: Optional[str] = None, thinking_mode: Optional[bool] = None, run_mode: Optional[str] = None, max_iterations: Optional[int] = None, session_data: Optional[Dict[str, Any]] = None, message_source: Optional[str] = None, goal_mode: bool = False, skill_context_messages: Optional[List[Dict[str, str]]] = None, task_type: str = "chat", ) -> TaskRecord: if run_mode: normalized = str(run_mode).lower() if normalized not in {"fast", "thinking", "deep"}: raise ValueError("run_mode 只支持 fast/thinking/deep") run_mode = normalized normalized_task_type = str(task_type or "chat").strip().lower() or "chat" # 单工作区互斥：普通 chat 任务禁止同一用户同一工作区并发； # notice（通知触发）任务允许与已完成的 chat 任务共存，用于后台通知重入。 if normalized_task_type == "chat": existing = [t for t in self.list_tasks(username, workspace_id) if t.status in {"pending", "running"} and getattr(t, "task_type", "chat") == "chat"] if existing: raise RuntimeError("当前工作区已有运行中的任务，请稍后再试。") task_id = str(uuid.uuid4()) record = TaskRecord(task_id, username, workspace_id, message, conversation_id, model_key, thinking_mode, run_mode, max_iterations, task_type=normalized_task_type) # 记录当前 session 快照，便于后台线程内使用 if session_data is not None: snapshot = dict(session_data) snapshot.setdefault("workspace_id", workspace_id) if message_source is not None: snapshot.setdefault("message_source", str(message_source)) snapshot["goal_mode"] = bool(goal_mode) if skill_context_messages: snapshot["skill_context_messages"] = list(skill_context_messages) try: snapshot.setdefault("host_mode", session.get("host_mode")) if snapshot.get("host_mode"): snapshot.setdefault("host_workspace_id", session.get("host_workspace_id") or workspace_id) except Exception: if snapshot.get("host_mode"): snapshot.setdefault("host_workspace_id", workspace_id) record.session_data = snapshot else: try: record.session_data = { "username": session.get("username"), "role": session.get("role"), "is_api_user": session.get("is_api_user"), "host_mode": session.get("host_mode"), "host_workspace_id": session.get("host_workspace_id") or workspace_id, "workspace_id": workspace_id, "run_mode": session.get("run_mode"), "thinking_mode": session.get("thinking_mode"), "model_key": session.get("model_key"), "message_source": str(message_source) if message_source is not None else None, "goal_mode": bool(goal_mode), "skill_context_messages": list(skill_context_messages or []), } except Exception: record.session_data = {} with self._lock: self._tasks[task_id] = record thread = threading.Thread(target=self._run_chat_task, args=(record, images, videos or []), daemon=True) record.thread = thread record.status = "running" record.updated_at = time.time() thread.start() return record def get_task(self, username: str, task_id: str) -> Optional[TaskRecord]: with self._lock: rec = self._tasks.get(task_id) if not rec or rec.username != username: return None return rec def list_tasks(self, username: str, workspace_id: Optional[str] = None) -> List[TaskRecord]: with self._lock: return [ rec for rec in self._tasks.values() if rec.username == username and (workspace_id is None or rec.workspace_id == workspace_id) ] def cancel_task(self, username: str, task_id: str) -> bool: """取消主智能体任务。只停主智能体，不触碰后台任务。后台任务（子智能体、后台指令）的终止/暂停由独立的 API 处理，参见 /api/sub_agents/stop_all 和 /api/background_commands/stop_all。 """ rec = self.get_task(username, task_id) if not rec: debug_log(f"[TaskCancel] cancel_task 找不到任务: task_id={task_id}") return False task_id = rec.task_id status_at_entry = rec.status # 取终端引用（仅用于停止目标模式等副作用） entry = stop_flags.get(task_id) terminal = None if isinstance(entry, dict): terminal = entry.get('terminal') if not terminal and rec.workspace_id: try: terminal, _ = get_user_resources(username, rec.workspace_id) except Exception: pass debug_log( f"[TaskCancel] 入口: task_id={task_id}, status={status_at_entry}, " f"conv={rec.conversation_id}" ) # 1. 硬取消主 asyncio task（如果引用还在） if isinstance(entry, dict): loop = entry.get('loop') task = entry.get('task') if loop and task and not task.done(): try: loop.call_soon_threadsafe(task.cancel) debug_log(f"[TaskCancel] 已投递硬取消: task_id={task_id}") except Exception as exc: debug_log(f"[TaskCancel] 硬取消失败: task_id={task_id}, error={exc}") entry['stop'] = True else: stop_flags[task_id] = {'stop': True, 'task': None, 'terminal': None, 'loop': None} entry = stop_flags[task_id] rec.stop_requested = True # 2. 停止目标模式 if rec.workspace_id: try: _, workspace = get_user_resources(username, rec.workspace_id) if workspace: gsm = GoalStateManager(workspace.data_dir) if gsm.is_active(): gsm.mark_stopped(REASON_USER_CANCEL) debug_log(f"[Goal] 用户取消任务 {task_id}，同步停止工作区目标模式") except Exception as exc: debug_log(f"[Goal] 取消任务时停止目标模式失败: {exc}") # 3. 丢弃已经引导的内容（预输入队列保持不变，正常结束后再插入） with self._lock: rec.runtime_guidance_queue = [] rec.updated_at = time.time() # 4. 标记为 cancel_requested。 # _run_chat_task finally 会并发把 status 改为 stopped 并发 task_stopped 事件。 # 此处仅做软标记，不强制覆盖 finally 即将设的终态。 now = time.time() with self._lock: if rec.status in {"running", "pending"}: rec.status = "cancel_requested" rec.updated_at = now rec.last_cancel_at = now debug_log( f"[TaskCancel] 已取消主智能体: task_id={task_id}, " f"status_at_entry={status_at_entry}, current_status={rec.status}" ) return True @staticmethod def _normalize_runtime_pending_queue(raw_queue: Any) -> List[Dict[str, Any]]: now_ts = time.time() normalized: List[Dict[str, Any]] = [] if not isinstance(raw_queue, list): return normalized for raw_item in raw_queue: if isinstance(raw_item, dict): item_id = str(raw_item.get("id") or "").strip() text = str(raw_item.get("text") or "").strip() created_at = raw_item.get("created_at") else: item_id = "" text = str(raw_item or "").strip() created_at = None if not text: continue if not item_id: item_id = str(uuid.uuid4()) try: created_at_float = float(created_at) except Exception: created_at_float = now_ts normalized.append( { "id": item_id, "text": text, "created_at": created_at_float, } ) return normalized @staticmethod def _runtime_pending_public(queue: List[Dict[str, Any]]) -> List[Dict[str, Any]]: result: List[Dict[str, Any]] = [] for item in queue or []: if not isinstance(item, dict): continue text = str(item.get("text") or "").strip() item_id = str(item.get("id") or "").strip() if not text or not item_id: continue result.append( { "id": item_id, "text": text, "created_at": item.get("created_at"), } ) return result def enqueue_runtime_pending_message( self, username: str, task_id: str, message: str, max_queue_size: int = 5 ) -> Dict[str, Any]: text = str(message or "").strip() if not text: return {"success": False, "code": "empty_message", "error": "消息不能为空"} limit = int(max(1, max_queue_size)) with self._lock: rec = self._tasks.get(task_id) if not rec or rec.username != username: return {"success": False, "code": "task_not_found", "error": "任务不存在"} if rec.status not in {"pending", "running", "cancel_requested"}: return {"success": False, "code": "task_not_running", "error": "任务已结束，无法追加消息"} queue = self._normalize_runtime_pending_queue(getattr(rec, "runtime_pending_queue", None)) if len(queue) >= limit: return { "success": False, "code": "queue_full", "error": f"堆积消息已满（最多 {limit} 条）", } item = { "id": str(uuid.uuid4()), "text": text, "created_at": time.time(), } queue.append(item) rec.runtime_pending_queue = queue rec.updated_at = time.time() return { "success": True, "task_id": rec.task_id, "item": item, "messages": self._runtime_pending_public(queue), } def remove_runtime_pending_message( self, username: str, task_id: str, message_id: str ) -> Dict[str, Any]: target_id = str(message_id or "").strip() if not target_id: return {"success": False, "code": "invalid_message_id", "error": "消息ID无效"} with self._lock: rec = self._tasks.get(task_id) if not rec or rec.username != username: return {"success": False, "code": "task_not_found", "error": "任务不存在"} queue = self._normalize_runtime_pending_queue(getattr(rec, "runtime_pending_queue", None)) remove_idx = -1 for idx, item in enumerate(queue): if str(item.get("id") or "") == target_id: remove_idx = idx break if remove_idx < 0: return {"success": False, "code": "message_not_found", "error": "消息不存在"} queue.pop(remove_idx) rec.runtime_pending_queue = queue rec.updated_at = time.time() return { "success": True, "task_id": rec.task_id, "messages": self._runtime_pending_public(queue), } def promote_runtime_pending_to_guidance( self, username: str, task_id: str, message_id: str, max_guidance_queue_size: int = 5, ) -> Dict[str, Any]: target_id = str(message_id or "").strip() if not target_id: return {"success": False, "code": "invalid_message_id", "error": "消息ID无效"} guidance_limit = int(max(1, max_guidance_queue_size)) with self._lock: rec = self._tasks.get(task_id) if not rec or rec.username != username: return {"success": False, "code": "task_not_found", "error": "任务不存在"} if rec.status not in {"pending", "running", "cancel_requested"}: return {"success": False, "code": "task_not_running", "error": "任务已结束，无法引导"} queue = self._normalize_runtime_pending_queue(getattr(rec, "runtime_pending_queue", None)) guidance_queue = getattr(rec, "runtime_guidance_queue", None) if not isinstance(guidance_queue, list): guidance_queue = [] if len(guidance_queue) >= guidance_limit: return { "success": False, "code": "guidance_queue_full", "error": f"引导队列已满（最多 {guidance_limit} 条）", } selected = None remain_queue: List[Dict[str, Any]] = [] for item in queue: if selected is None and str(item.get("id") or "") == target_id: selected = item continue remain_queue.append(item) if not selected: return {"success": False, "code": "message_not_found", "error": "消息不存在"} selected_text = str(selected.get("text") or "").strip() if not selected_text: return {"success": False, "code": "empty_message", "error": "消息内容为空"} guidance_queue.append(selected_text) rec.runtime_guidance_queue = guidance_queue rec.runtime_pending_queue = remain_queue rec.updated_at = time.time() return { "success": True, "task_id": rec.task_id, "queued_count": len(guidance_queue), "messages": self._runtime_pending_public(remain_queue), } def get_runtime_pending_messages(self, username: str, task_id: str) -> List[Dict[str, Any]]: with self._lock: rec = self._tasks.get(task_id) if not rec or rec.username != username: return [] queue = self._normalize_runtime_pending_queue(getattr(rec, "runtime_pending_queue", None)) rec.runtime_pending_queue = queue return self._runtime_pending_public(queue) def enqueue_runtime_guidance( self, username: str, task_id: str, message: str, max_queue_size: int = 5, source: Optional[str] = None, ) -> Dict[str, Any]: text = str(message or "").strip() if not text: return {"success": False, "code": "empty_message", "error": "引导内容不能为空"} with self._lock: rec = self._tasks.get(task_id) if not rec or rec.username != username: return {"success": False, "code": "task_not_found", "error": "任务不存在"} if rec.status not in {"pending", "running", "cancel_requested"}: return {"success": False, "code": "task_not_running", "error": "任务已结束，无法追加引导"} queue = getattr(rec, "runtime_guidance_queue", None) if not isinstance(queue, list): queue = [] rec.runtime_guidance_queue = queue if len(queue) >= int(max(1, max_queue_size)): return { "success": False, "code": "queue_full", "error": f"引导队列已满（最多 {int(max(1, max_queue_size))} 条）", } normalized_source = str(source or "").strip().lower() if normalized_source: queue.append({"text": text, "source": normalized_source}) else: queue.append(text) rec.updated_at = time.time() return { "success": True, "queued_count": len(queue), "task_id": rec.task_id, } def pop_runtime_guidance_for_injection(self, username: str, task_id: str) -> Optional[Any]: with self._lock: rec = self._tasks.get(task_id) if not rec or rec.username != username: return None queue = getattr(rec, "runtime_guidance_queue", None) if not isinstance(queue, list) or not queue: return None item = queue.pop(0) rec.updated_at = time.time() if isinstance(item, dict): text = str(item.get("text") or "").strip() if not text: return None src = str(item.get("source") or "").strip().lower() return {"text": text, "source": src} if src else {"text": text} text = str(item or "").strip() return text or None def consume_runtime_guidance_messages(self, username: str, task_id: str) -> List[str]: with self._lock: rec = self._tasks.get(task_id) if not rec or rec.username != username: return [] queue = getattr(rec, "runtime_guidance_queue", None) if not isinstance(queue, list) or not queue: return [] items: List[str] = [] for item in queue: if isinstance(item, dict): text = str(item.get("text") or "").strip() else: text = str(item or "").strip() if text: items.append(text) rec.runtime_guidance_queue = [] rec.updated_at = time.time() return items def consume_runtime_guidance_for_injection(self, username: str, task_id: str) -> List[Any]: """按原始结构取出整批引导/通知消息（支持 str 与 {text,source}）。""" with self._lock: rec = self._tasks.get(task_id) if not rec or rec.username != username: return [] queue = getattr(rec, "runtime_guidance_queue", None) if not isinstance(queue, list) or not queue: return [] items: List[Any] = [] for item in queue: if isinstance(item, dict): text = str(item.get("text") or "").strip() if not text: continue src = str(item.get("source") or "").strip().lower() items.append({"text": text, "source": src} if src else {"text": text}) else: text = str(item or "").strip() if text: items.append(text) rec.runtime_guidance_queue = [] rec.updated_at = time.time() return items # ---- internal helpers ---- def _cleanup_background_tasks(self, rec: TaskRecord, terminal: Optional[Any]) -> bool: """清理指定任务/对话下的所有后台子智能体和后台命令，返回是否清理到任何任务。""" has_running_background = False if not terminal or not rec.conversation_id: return has_running_background sub_agent_manager = getattr(terminal, 'sub_agent_manager', None) if sub_agent_manager: try: sub_agent_manager.reconcile_task_states(conversation_id=rec.conversation_id) for task_info in list(sub_agent_manager.tasks.values()): if task_info.get('conversation_id') != rec.conversation_id: continue status = task_info.get('status') if status not in SUB_AGENT_TERMINAL_STATUSES.union({"terminated"}): has_running_background = True try: sub_agent_manager.terminate_sub_agent(task_id=task_info.get('task_id')) except Exception as exc: debug_log(f"[TaskCancel] 终止子智能体失败: {exc}") except Exception as exc: debug_log(f"[TaskCancel] 检查后台子智能体失败: {exc}") bg_manager = getattr(terminal, 'background_command_manager', None) if bg_manager: try: bg_manager.reconcile_stale_records(conversation_id=rec.conversation_id) waiting_items = bg_manager.list_waiting_items(rec.conversation_id) for item in waiting_items: has_running_background = True try: bg_manager.cancel_command(item.get('command_id')) except Exception as exc: debug_log(f"[TaskCancel] 取消后台命令失败: {exc}") # 把该对话下所有未通知的终态记录也标为已通知，避免后续幽灵通知 try: with bg_manager._lock: for record in bg_manager._records.values(): if record.get('conversation_id') != rec.conversation_id: continue if record.get('status') in BG_COMMAND_TERMINAL_STATUSES and not record.get('notified'): record['notified'] = True record['updated_at'] = time.time() except Exception as exc: debug_log(f"[TaskCancel] 标记后台通知状态失败: {exc}") except Exception as exc: debug_log(f"[TaskCancel] 检查后台命令失败: {exc}") return has_running_background @staticmethod def _has_running_background(rec: TaskRecord, terminal: Optional[Any]) -> Dict[str, bool]: """检测指定任务/对话是否还有运行中的后台子智能体或后台命令。""" result = {"has_running_sub_agents": False, "has_running_background_commands": False} if not terminal or not rec.conversation_id: return result sub_agent_manager = getattr(terminal, 'sub_agent_manager', None) if sub_agent_manager: try: sub_agent_manager.reconcile_task_states(conversation_id=rec.conversation_id) for task_info in sub_agent_manager.tasks.values(): if task_info.get('conversation_id') != rec.conversation_id: continue status = task_info.get('status') if status not in SUB_AGENT_TERMINAL_STATUSES.union({"terminated"}): result["has_running_sub_agents"] = True break except Exception as exc: debug_log(f"[Task] 检查后台子智能体失败: {exc}") bg_manager = getattr(terminal, 'background_command_manager', None) if bg_manager: try: bg_manager.reconcile_stale_records(conversation_id=rec.conversation_id) waiting_items = bg_manager.list_waiting_items(rec.conversation_id) if waiting_items: result["has_running_background_commands"] = True except Exception as exc: debug_log(f"[Task] 检查后台命令失败: {exc}") return result def _append_event(self, rec: TaskRecord, event_type: str, data: Dict[str, Any]): if isinstance(data, dict): data = dict(data) data.setdefault("task_id", rec.task_id) if rec.conversation_id: data.setdefault("conversation_id", rec.conversation_id) if rec.workspace_id: data.setdefault("workspace_id", rec.workspace_id) with self._lock: if event_type in {"goal_progress", "goal_completed", "goal_stopped"} and isinstance(data, dict): rec.session_data["goal_progress"] = dict(data) idx = getattr(rec, "next_event_idx", None) if idx is None: idx = rec.events[-1]["idx"] + 1 if rec.events else 0 rec.next_event_idx = idx + 1 rec.events.append({ "idx": idx, "type": event_type, "data": data, "ts": time.time(), }) rec.updated_at = time.time() def _run_chat_task(self, rec: TaskRecord, images: List[Any], videos: List[Any]): username = rec.username workspace_id = rec.workspace_id terminal = None workspace = None stop_hint = False try: # 为后台线程构造最小请求上下文，填充 session from server.app import app as flask_app with flask_app.test_request_context(): try: for k, v in (rec.session_data or {}).items(): if v is not None: session[k] = v if session.get("host_mode"): session["workspace_id"] = workspace_id session["host_workspace_id"] = session.get("host_workspace_id") or workspace_id write_host_workspace_debug( "tasks.run_chat_task.apply_host_session", task_id=rec.task_id, workspace_id=workspace_id, host_workspace_id=session.get("host_workspace_id"), ) except Exception: pass terminal, workspace = get_user_resources(username, workspace_id=workspace_id) if not terminal or not workspace: raise RuntimeError("系统未初始化") stop_hint = bool(stop_flags.get(rec.task_id, {}).get("stop")) def _apply_requested_model_mode(): # API 传入的模型/模式配置 if rec.model_key: try: terminal.set_model(rec.model_key) except Exception as exc: debug_log(f"[Task] 设置模型失败 {rec.model_key}: {exc}") if rec.run_mode: try: terminal.set_run_mode(rec.run_mode) except Exception as exc: debug_log(f"[Task] 设置运行模式失败 {rec.run_mode}: {exc}") elif rec.thinking_mode is not None: try: terminal.set_run_mode("thinking" if rec.thinking_mode else "fast") except Exception as exc: debug_log(f"[Task] 设置思考模式失败: {exc}") _apply_requested_model_mode() if rec.max_iterations: try: terminal.max_iterations_override = int(rec.max_iterations) except Exception: terminal.max_iterations_override = None try: debug_log( "[Task] effective terminal state " f"model_key={getattr(terminal, 'model_key', None)!r} " f"run_mode={getattr(terminal, 'run_mode', None)!r} " f"thinking_mode={getattr(terminal, 'thinking_mode', None)!r} " f"deep_mode={getattr(terminal, 'deep_thinking_mode', None)!r}" ) except Exception: pass # 确保会话加载 conversation_id = rec.conversation_id try: conversation_id, _ = ensure_conversation_loaded(terminal, conversation_id, workspace=workspace) rec.conversation_id = conversation_id except Exception as exc: raise RuntimeError(f"对话加载失败: {exc}") from exc # 对话加载会按会话元数据恢复历史模型/模式，这里再覆盖一次用户本次请求参数 _apply_requested_model_mode() try: debug_log( "[Task] post-conversation effective state " f"model_key={getattr(terminal, 'model_key', None)!r} " f"run_mode={getattr(terminal, 'run_mode', None)!r} " f"thinking_mode={getattr(terminal, 'thinking_mode', None)!r} " f"deep_mode={getattr(terminal, 'deep_thinking_mode', None)!r}" ) except Exception: pass # 仅对“后台通知触发的新任务”补发 user_message 事件到任务事件流。 # 这样前端轮询能即时看到这条 user 消息，而不是刷新后才从历史中看到。 try: if bool((rec.session_data or {}).get("auto_user_message_event")): # 先回放本批「通知池」里的前置完成通知（除触发消息外的 N-1 条）， # 保证轮询客户端按时间顺序看到所有完成通知，且不各自触发新一轮工作。 preceding_notices = (rec.session_data or {}).get("preceding_user_notices") or [] if isinstance(preceding_notices, list): for item in preceding_notices: if not isinstance(item, dict): continue notice_msg = str(item.get("message") or "").strip() if not notice_msg: continue notice_payload = dict(item.get("payload") or {}) notice_payload["starts_work"] = False notice_event = { "message": notice_msg, "conversation_id": rec.conversation_id, "task_id": rec.task_id, } notice_event.update(notice_payload) self._append_event(rec, "user_message", notice_event) extra_payload = (rec.session_data or {}).get("auto_user_message_payload") or {} if not isinstance(extra_payload, dict): extra_payload = {} payload = { "message": rec.message, "conversation_id": rec.conversation_id, "task_id": rec.task_id, } payload.update(extra_payload) self._append_event(rec, "user_message", payload) except Exception as exc: debug_log(f"[Task] 注入 user_message 事件失败: {exc}") def sender(event_type, data): if isinstance(data, dict): data = dict(data) if event_type == "compression_finished": migrated_conversation_id = str(data.get("conversation_id") or "").strip() if migrated_conversation_id: with self._lock: rec.conversation_id = migrated_conversation_id rec.updated_at = time.time() data.setdefault("task_id", rec.task_id) if rec.conversation_id: data.setdefault("conversation_id", rec.conversation_id) if rec.workspace_id: data.setdefault("workspace_id", rec.workspace_id) # 记录事件 self._append_event(rec, event_type, data) # 在线用户仍然收到实时推送（房间 user_{username}） try: from server.extensions import socketio socketio.emit(event_type, data, room=f"user_{username}") except Exception: pass # 轮询模式需要把 context_manager 的回调切到当前任务 sender， # 否则 token_update 等事件只走 websocket，前端任务轮询拿不到实时更新。 previous_ctx_callback = None try: if terminal and getattr(terminal, "context_manager", None): previous_ctx_callback = getattr(terminal.context_manager, "_web_terminal_callback", None) terminal.context_manager.set_web_terminal_callback(sender) except Exception as exc: debug_log(f"[Task] 设置上下文回调失败: {exc}") # 将 task_id 作为 client_sid，供 stop_flags 检测 previous_auto_user_event = None previous_message_source = None previous_auto_user_payload = None previous_goal_mode_requested = None previous_skill_context_messages = None try: previous_auto_user_event = getattr(terminal, "_auto_user_message_event", False) previous_message_source = getattr(terminal, "_current_user_message_source", None) previous_auto_user_payload = getattr(terminal, "_auto_user_message_payload", None) previous_goal_mode_requested = getattr(terminal, "_goal_mode_requested", False) previous_skill_context_messages = getattr(terminal, "_skill_context_messages", None) setattr( terminal, "_auto_user_message_event", bool((rec.session_data or {}).get("auto_user_message_event")), ) setattr( terminal, "_auto_user_message_payload", dict((rec.session_data or {}).get("auto_user_message_payload") or {}), ) setattr( terminal, "_current_user_message_source", str((rec.session_data or {}).get("message_source") or "user"), ) setattr( terminal, "_goal_mode_requested", bool((rec.session_data or {}).get("goal_mode")), ) setattr( terminal, "_skill_context_messages", list((rec.session_data or {}).get("skill_context_messages") or []), ) except Exception: previous_auto_user_event = None previous_message_source = None previous_auto_user_payload = None previous_goal_mode_requested = None previous_skill_context_messages = None try: run_chat_task_sync( terminal=terminal, message=rec.message, images=images, sender=sender, client_sid=rec.task_id, workspace=workspace, username=username, videos=videos, ) finally: try: if previous_auto_user_event is not None: setattr(terminal, "_auto_user_message_event", previous_auto_user_event) if previous_auto_user_payload is not None: setattr(terminal, "_auto_user_message_payload", previous_auto_user_payload) if previous_message_source is not None: setattr(terminal, "_current_user_message_source", previous_message_source) if previous_goal_mode_requested is not None: setattr(terminal, "_goal_mode_requested", previous_goal_mode_requested) if previous_skill_context_messages is not None: setattr(terminal, "_skill_context_messages", previous_skill_context_messages) else: setattr(terminal, "_skill_context_messages", []) if terminal and getattr(terminal, "context_manager", None): terminal.context_manager.set_web_terminal_callback(previous_ctx_callback) except Exception as exc: debug_log(f"[Task] 恢复上下文回调失败: {exc}") # 结束状态 canceled_flag = rec.stop_requested or stop_hint or bool(stop_flags.get(rec.task_id, {}).get("stop")) if canceled_flag: # 用户取消时，根据是否还有后台任务决定状态： # - 有后台任务：保持 cancel_requested，等待用户第二下清理 # - 无后台任务：直接 stopped # 注意：如果 cancel_task 第二下已经先把 rec.status 设为 stopped，则保持 stopped。 bg_state = self._has_running_background(rec, terminal) has_bg = bg_state["has_running_sub_agents"] or bg_state["has_running_background_commands"] with self._lock: if rec.status == "stopped": new_status = "stopped" else: new_status = "cancel_requested" if has_bg else "stopped" rec.status = new_status rec.updated_at = time.time() debug_log( f"[TaskRun] 任务线程结束: task_id={rec.task_id}, canceled_flag={canceled_flag}, " f"new_status={new_status}, bg_state={bg_state}" ) # 统一发送 task_stopped，携带后台任务状态 try: from server.extensions import socketio stopped_payload = { 'message': '任务已停止', 'reason': 'user_requested', 'task_id': rec.task_id, 'conversation_id': rec.conversation_id, 'has_running_sub_agents': bg_state["has_running_sub_agents"], 'has_running_background_commands': bg_state["has_running_background_commands"], } socketio.emit('task_stopped', stopped_payload, room=f"user_{rec.username}") # 同时写入轮询事件队列，确保 websocket 丢失时前端仍能收到 self._append_event(rec, "task_stopped", stopped_payload) debug_log( f"[TaskRun] 已发送 task_stopped: task_id={rec.task_id}, " f"has_bg={has_bg}, room=user_{rec.username}" ) except Exception as exc: debug_log(f"[TaskRun] 发送 task_stopped 失败: {exc}") else: with self._lock: rec.status = "succeeded" rec.updated_at = time.time() # 任务线程结束：仅当对话真正空闲（无其它前台/后台任务）时才把 work_timer 标记为完成， # 避免智能体已停、但后台子智能体/后台命令/压缩仍在进行时提前停止计时。 try: if terminal and rec.conversation_id: active_task_ids = { t.task_id for t in self.list_tasks(username, rec.workspace_id) if t.status in {"pending", "running"} } finalized = finalize_conversation_work_timer( terminal, rec.conversation_id, exclude_task_id=rec.task_id, active_task_ids=active_task_ids, ) except Exception as exc: pass except Exception as exc: debug_log(f"[Task] 后台任务失败: {exc}") self._append_event(rec, "error", {"message": str(exc)}) with self._lock: rec.status = "failed" rec.error = str(exc) rec.updated_at = time.time() finally: # 清理 stop_flags stop_flags.pop(rec.task_id, None) # 清理一次性配置 if terminal and hasattr(terminal, "max_iterations_override"): try: delattr(terminal, "max_iterations_override") except Exception: terminal.max_iterations_override = None def start_task_cleanup_scheduler(): """启动任务清理定时器""" def cleanup_loop(): while True: try: from server.tasks import task_manager count = task_manager.cleanup_old_tasks(3600) if count > 0: debug_log(f"[Task] 清理了 {count} 个旧任务") except Exception as e: debug_log(f"[Task] 清理任务失败: {e}") time.sleep(600) # 每 10 分钟 thread = threading.Thread(target=cleanup_loop, daemon=True, name="TaskCleanup") thread.start() debug_log("[Task] 任务清理定时器已启动")