JOJO
ae70e4902e
停止按钮现在只停主智能体，与后台任务无关。 - 后端 cancel_task 简化：移除两段式判断、force_stop参数、is_ma_mode分支 - 删除 _force_stop_multi_agent 方法 - 新增 /api/sub_agents/stop_all 接口（mode=terminate/soft_stop） - 前端 stopTask 移除 forceStop 概念，只取消主智能体 - 取消期间不再二次点击终结子智能体 子智能体停止按钮： - InputComposer state bar 加'x个子智能体运行中'按钮 - 独立浮层显示，不依赖 git 栏（参考 askuser 方案） - 点击传统模式弹窗终结；多智能体弹窗软停止 - App.vue 新增 handleStopAllSubAgents 调 ui.confirmDialog 后台指令停止按钮： - LeftPanel 后台指令标签右边加停止按钮 - 仅当 panelMode=backgroundCommands 且存在运行中后台指令时显示 - 调 backgroundCommandStore.stopAllCommands 无二次确认 showStopIcon 只看主对话 streaming 状态： - 后台任务在跑但主对话空闲时显示发送按钮 - 多智能体 / 传统模式统一处理 子智能体 store 加 stopAllAgents(mode) action 调新 API useLegacySocket task_stopped handler 简化： - 移除 multi_agent_reloaded 重载 - 移除'再次按下停止按钮以结束后台任务'提示 - 保留 has_running_multi_agent/sub_agents 用于 taskInProgress 判定 清理调试日志：[TaskCancel][stop_debug], [STOP_DEBUG] 全部去掉 保留 ma_debug 框架用于多智能体调试
999 lines
45 KiB
Python
999 lines
45 KiB
Python
"""简单任务 API：将聊天任务与 WebSocket 解耦，支持后台运行与轮询。"""
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from __future__ import annotations
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from server.tasks import tasks_bp
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import mimetypes
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import json
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import time
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import threading
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import uuid
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import re
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from collections import deque
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from pathlib import Path
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from typing import Dict, Any, Optional, List
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from flask import Blueprint, request, jsonify
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from flask import current_app, session
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from server.auth_helpers import api_login_required, get_current_username
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from server.context import get_user_resources, ensure_conversation_loaded
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from server.chat_flow import run_chat_task_sync
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from server.work_timer import finalize_conversation_work_timer
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from server.state import stop_flags
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from server.utils_common import debug_log, log_conn_diag
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from utils.host_workspace_debug import write_host_workspace_debug
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from config import DATA_DIR, WORKSPACE_SKILLS_DIRNAME
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from modules.goal_state_manager import GoalStateManager, REASON_USER_CANCEL
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from modules.sub_agent.state import TERMINAL_STATUSES as SUB_AGENT_TERMINAL_STATUSES
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from modules.background_command_manager import BackgroundCommandManager, TERMINAL_STATUSES as BG_COMMAND_TERMINAL_STATUSES
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SKILL_FRONTMATTER_RE = re.compile(r"^---\s*\n(?P<body>.*?)\n---\s*\n?", re.S)
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SKILL_FIELD_RE = re.compile(r"^(?P<key>name|description)\s*:\s*(?P<value>.*)$")
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class TaskRecord:
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__slots__ = (
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"task_id",
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"username",
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"workspace_id",
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"status",
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"created_at",
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"updated_at",
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"message",
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"conversation_id",
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"events",
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"thread",
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"error",
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"model_key",
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"thinking_mode",
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"run_mode",
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"max_iterations",
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"session_data",
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"stop_requested",
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"next_event_idx",
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"runtime_pending_queue",
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"runtime_guidance_queue",
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"last_cancel_at",
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"task_type",
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)
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def __init__(
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self,
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task_id: str,
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username: str,
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workspace_id: str,
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message: str,
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conversation_id: Optional[str],
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model_key: Optional[str],
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thinking_mode: Optional[bool],
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run_mode: Optional[str],
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max_iterations: Optional[int],
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task_type: str = "chat",
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):
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self.task_id = task_id
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self.username = username
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self.workspace_id = workspace_id
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self.status = "pending"
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self.created_at = time.time()
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self.updated_at = self.created_at
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self.message = message
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self.conversation_id = conversation_id
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# 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，
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# 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。
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self.events: deque[Dict[str, Any]] = deque(maxlen=20000)
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self.thread: Optional[threading.Thread] = None
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self.error: Optional[str] = None
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self.model_key = model_key
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self.thinking_mode = thinking_mode
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self.run_mode = run_mode
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self.max_iterations = max_iterations
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self.session_data: Dict[str, Any] = {}
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self.stop_requested: bool = False
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self.next_event_idx: int = 0
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self.runtime_pending_queue: List[Dict[str, Any]] = []
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self.runtime_guidance_queue: List[str] = []
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self.last_cancel_at: Optional[float] = None
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self.task_type = task_type
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class TaskManager:
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"""线程内存版任务管理器，后续可替换为 Redis/DB。"""
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def __init__(self):
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self._tasks: Dict[str, TaskRecord] = {}
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self._lock = threading.Lock()
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def cleanup_old_tasks(self, max_age_seconds: int = 3600) -> int:
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"""清理超过指定时间的已完成任务"""
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now = time.time()
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with self._lock:
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to_remove = []
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for task_id, rec in self._tasks.items():
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if rec.status in {"succeeded", "failed", "canceled"}:
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age = now - rec.updated_at
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if age > max_age_seconds:
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to_remove.append(task_id)
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for task_id in to_remove:
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del self._tasks[task_id]
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return len(to_remove)
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# ---- public APIs ----
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def create_chat_task(
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self,
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username: str,
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workspace_id: str,
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message: str,
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images: List[Any],
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conversation_id: Optional[str],
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videos: Optional[List[Any]] = None,
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model_key: Optional[str] = None,
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thinking_mode: Optional[bool] = None,
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run_mode: Optional[str] = None,
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max_iterations: Optional[int] = None,
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session_data: Optional[Dict[str, Any]] = None,
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message_source: Optional[str] = None,
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goal_mode: bool = False,
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skill_context_messages: Optional[List[Dict[str, str]]] = None,
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task_type: str = "chat",
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) -> TaskRecord:
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if run_mode:
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normalized = str(run_mode).lower()
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if normalized not in {"fast", "thinking", "deep"}:
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raise ValueError("run_mode 只支持 fast/thinking/deep")
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run_mode = normalized
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normalized_task_type = str(task_type or "chat").strip().lower() or "chat"
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# 单工作区互斥：普通 chat 任务禁止同一用户同一工作区并发；
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# 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。
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if normalized_task_type == "chat":
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existing = [t for t in self.list_tasks(username, workspace_id) if t.status in {"pending", "running"} and getattr(t, "task_type", "chat") == "chat"]
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if existing:
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raise RuntimeError("当前工作区已有运行中的任务，请稍后再试。")
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task_id = str(uuid.uuid4())
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record = TaskRecord(task_id, username, workspace_id, message, conversation_id, model_key, thinking_mode, run_mode, max_iterations, task_type=normalized_task_type)
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# 记录当前 session 快照，便于后台线程内使用
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if session_data is not None:
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snapshot = dict(session_data)
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snapshot.setdefault("workspace_id", workspace_id)
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if message_source is not None:
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snapshot.setdefault("message_source", str(message_source))
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snapshot["goal_mode"] = bool(goal_mode)
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if skill_context_messages:
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snapshot["skill_context_messages"] = list(skill_context_messages)
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try:
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snapshot.setdefault("host_mode", session.get("host_mode"))
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if snapshot.get("host_mode"):
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snapshot.setdefault("host_workspace_id", session.get("host_workspace_id") or workspace_id)
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except Exception:
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if snapshot.get("host_mode"):
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snapshot.setdefault("host_workspace_id", workspace_id)
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record.session_data = snapshot
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else:
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try:
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record.session_data = {
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"username": session.get("username"),
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"role": session.get("role"),
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"is_api_user": session.get("is_api_user"),
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"host_mode": session.get("host_mode"),
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"host_workspace_id": session.get("host_workspace_id") or workspace_id,
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"workspace_id": workspace_id,
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"run_mode": session.get("run_mode"),
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"thinking_mode": session.get("thinking_mode"),
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"model_key": session.get("model_key"),
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"message_source": str(message_source) if message_source is not None else None,
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"goal_mode": bool(goal_mode),
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"skill_context_messages": list(skill_context_messages or []),
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}
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except Exception:
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record.session_data = {}
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with self._lock:
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self._tasks[task_id] = record
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thread = threading.Thread(target=self._run_chat_task, args=(record, images, videos or []), daemon=True)
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record.thread = thread
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record.status = "running"
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record.updated_at = time.time()
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thread.start()
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return record
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def get_task(self, username: str, task_id: str) -> Optional[TaskRecord]:
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with self._lock:
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rec = self._tasks.get(task_id)
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if not rec or rec.username != username:
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return None
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return rec
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def list_tasks(self, username: str, workspace_id: Optional[str] = None) -> List[TaskRecord]:
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with self._lock:
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return [
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rec
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for rec in self._tasks.values()
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if rec.username == username and (workspace_id is None or rec.workspace_id == workspace_id)
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]
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def cancel_task(self, username: str, task_id: str) -> bool:
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"""取消主智能体任务。只停主智能体，不触碰后台任务。
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后台任务（子智能体、后台指令）的终止/暂停由独立的 API 处理，
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参见 /api/sub_agents/stop_all 和 /api/background_commands/stop_all。
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"""
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rec = self.get_task(username, task_id)
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if not rec:
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debug_log(f"[TaskCancel] cancel_task 找不到任务: task_id={task_id}")
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return False
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task_id = rec.task_id
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status_at_entry = rec.status
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# 取终端引用（仅用于停止目标模式等副作用）
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entry = stop_flags.get(task_id)
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terminal = None
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if isinstance(entry, dict):
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terminal = entry.get('terminal')
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if not terminal and rec.workspace_id:
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try:
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terminal, _ = get_user_resources(username, rec.workspace_id)
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except Exception:
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pass
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debug_log(
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f"[TaskCancel] 入口: task_id={task_id}, status={status_at_entry}, "
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f"conv={rec.conversation_id}"
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)
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# 1. 硬取消主 asyncio task（如果引用还在）
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if isinstance(entry, dict):
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loop = entry.get('loop')
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task = entry.get('task')
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if loop and task and not task.done():
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try:
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loop.call_soon_threadsafe(task.cancel)
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debug_log(f"[TaskCancel] 已投递硬取消: task_id={task_id}")
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except Exception as exc:
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debug_log(f"[TaskCancel] 硬取消失败: task_id={task_id}, error={exc}")
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entry['stop'] = True
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else:
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stop_flags[task_id] = {'stop': True, 'task': None, 'terminal': None, 'loop': None}
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entry = stop_flags[task_id]
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rec.stop_requested = True
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# 2. 停止目标模式
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if rec.workspace_id:
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try:
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_, workspace = get_user_resources(username, rec.workspace_id)
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if workspace:
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gsm = GoalStateManager(workspace.data_dir)
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if gsm.is_active():
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gsm.mark_stopped(REASON_USER_CANCEL)
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debug_log(f"[Goal] 用户取消任务 {task_id}，同步停止工作区目标模式")
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except Exception as exc:
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debug_log(f"[Goal] 取消任务时停止目标模式失败: {exc}")
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# 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）
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with self._lock:
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rec.runtime_guidance_queue = []
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rec.updated_at = time.time()
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# 4. 标记为 cancel_requested。
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# _run_chat_task finally 会并发把 status 改为 stopped 并发 task_stopped 事件。
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# 此处仅做软标记，不强制覆盖 finally 即将设的终态。
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now = time.time()
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with self._lock:
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if rec.status in {"running", "pending"}:
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rec.status = "cancel_requested"
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rec.updated_at = now
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rec.last_cancel_at = now
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debug_log(
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f"[TaskCancel] 已取消主智能体: task_id={task_id}, "
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f"status_at_entry={status_at_entry}, current_status={rec.status}"
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)
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return True
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@staticmethod
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def _normalize_runtime_pending_queue(raw_queue: Any) -> List[Dict[str, Any]]:
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now_ts = time.time()
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normalized: List[Dict[str, Any]] = []
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if not isinstance(raw_queue, list):
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return normalized
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for raw_item in raw_queue:
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if isinstance(raw_item, dict):
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item_id = str(raw_item.get("id") or "").strip()
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text = str(raw_item.get("text") or "").strip()
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created_at = raw_item.get("created_at")
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else:
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item_id = ""
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text = str(raw_item or "").strip()
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created_at = None
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if not text:
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continue
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if not item_id:
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item_id = str(uuid.uuid4())
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try:
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created_at_float = float(created_at)
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except Exception:
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created_at_float = now_ts
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normalized.append(
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{
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"id": item_id,
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"text": text,
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"created_at": created_at_float,
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}
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)
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return normalized
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@staticmethod
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def _runtime_pending_public(queue: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
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result: List[Dict[str, Any]] = []
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for item in queue or []:
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if not isinstance(item, dict):
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continue
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text = str(item.get("text") or "").strip()
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item_id = str(item.get("id") or "").strip()
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if not text or not item_id:
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continue
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result.append(
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{
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"id": item_id,
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"text": text,
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"created_at": item.get("created_at"),
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}
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)
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return result
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def enqueue_runtime_pending_message(
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self, username: str, task_id: str, message: str, max_queue_size: int = 5
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) -> Dict[str, Any]:
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text = str(message or "").strip()
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if not text:
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return {"success": False, "code": "empty_message", "error": "消息不能为空"}
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limit = int(max(1, max_queue_size))
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with self._lock:
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rec = self._tasks.get(task_id)
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if not rec or rec.username != username:
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return {"success": False, "code": "task_not_found", "error": "任务不存在"}
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if rec.status not in {"pending", "running", "cancel_requested"}:
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return {"success": False, "code": "task_not_running", "error": "任务已结束，无法追加消息"}
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queue = self._normalize_runtime_pending_queue(getattr(rec, "runtime_pending_queue", None))
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if len(queue) >= limit:
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return {
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"success": False,
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"code": "queue_full",
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"error": f"堆积消息已满（最多 {limit} 条）",
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}
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item = {
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"id": str(uuid.uuid4()),
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"text": text,
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"created_at": time.time(),
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}
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queue.append(item)
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rec.runtime_pending_queue = queue
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rec.updated_at = time.time()
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return {
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"success": True,
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"task_id": rec.task_id,
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"item": item,
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"messages": self._runtime_pending_public(queue),
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}
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def remove_runtime_pending_message(
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self, username: str, task_id: str, message_id: str
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) -> Dict[str, Any]:
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target_id = str(message_id or "").strip()
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if not target_id:
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return {"success": False, "code": "invalid_message_id", "error": "消息ID无效"}
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with self._lock:
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rec = self._tasks.get(task_id)
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if not rec or rec.username != username:
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return {"success": False, "code": "task_not_found", "error": "任务不存在"}
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queue = self._normalize_runtime_pending_queue(getattr(rec, "runtime_pending_queue", None))
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remove_idx = -1
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for idx, item in enumerate(queue):
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if str(item.get("id") or "") == target_id:
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remove_idx = idx
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break
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if remove_idx < 0:
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return {"success": False, "code": "message_not_found", "error": "消息不存在"}
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queue.pop(remove_idx)
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rec.runtime_pending_queue = queue
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rec.updated_at = time.time()
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return {
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"success": True,
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"task_id": rec.task_id,
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"messages": self._runtime_pending_public(queue),
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}
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def promote_runtime_pending_to_guidance(
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self,
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username: str,
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task_id: str,
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message_id: str,
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max_guidance_queue_size: int = 5,
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) -> Dict[str, Any]:
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target_id = str(message_id or "").strip()
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if not target_id:
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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")
|