JOJO
811974d6e7
放弃完全隔离策略，改为在现有 MainTerminal/SubAgentManager/SubAgentTask 主链路 按对话级开关 metadata.multi_agent_mode=true 增加多智能体分支。 新增模块： - modules/multi_agent/__init__.py: 模块入口 - modules/multi_agent/role_store.py: 角色 Markdown Frontmatter 解析与归档 - modules/multi_agent/state.py: 多智能体会话状态机与消息格式化 - modules/multi_agent/prompts.py: 主智能体(Team Leader) + 子智能体提示词 - modules/multi_agent/tools.py: 9 个主智能体工具 + 4 个子智能体工具定义 - server/multi_agent.py: /multiagent/new 页面 + /api/multiagent/* 蓝图 现有代码改动： - modules/sub_agent/task.py: 扩展 multi_agent_mode/multi_agent_state/display_name 字段， 增加 ask_master/ask_other_agent/answer_other_agent/list_active_sub_agents 工具处理逻辑， 子智能体自然结束 assistant 输出即本轮结束（不调用 finish_task），上下文保留。 - modules/sub_agent/manager.py: create_sub_agent 增加 multi_agent_mode/role_id/display_name 参数， 增加 get_or_create_multi_agent_state/get_multi_agent_state/inject_message_to_sub_agent/_on_multi_agent_task_done 方法。 - core/main_terminal_parts/tools_definition/agent_tools.py: 多智能体模式下用 modules.multi_agent.tools 替换旧版工具集。 - core/main_terminal_parts/context/messages.py: 多智能体模式下追加 Team Leader 系统提示词。 - core/main_terminal_parts/tools_execution.py: create_sub_agent handler 增加多智能体分支，新增 send_message_to_sub_agent/ask_sub_agent/answer_sub_agent_question/create_custom_agent/list_agents/list_active_sub_agents handler。 - core/web_terminal.py: load_conversation 时检测 metadata.multi_agent_mode 设置 self.multi_agent_mode。 - server/app_legacy.py: 注册 multi_agent_bp 蓝图。 前端改动： - static/src/auth/LoginApp.vue: 登录页增加'多智能体模式(beta)'按钮 - static/src/app/methods/ui/route.ts: 识别 /multiagent/new 和 /multiagent/conv_xxx 路径，进入多智能体模式并创建带 metadata.multi_agent_mode=true 的对话 - static/src/app/state.ts: 增加 multiAgentMode 状态字段 数据： - ~/.astrion/astrion/host/mutiagents/agents/: 4 个预置角色 ui-operator / full-stack-engineer / code-reviewer / researcher - ~/.astrion/astrion/host/mutiagents/conversations/: 会话数据 验证：所有 Python 文件语法检查通过；冒烟测试 test.test_server_refactor_smoke 6 项全通过；前端构建通过（6.04s）；模块导入与功能断言测试全部通过。
796 lines
36 KiB
Python
796 lines
36 KiB
Python
# core/web_terminal.py - Web终端（集成对话持久化）
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import json
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import time
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from datetime import datetime
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from typing import Dict, List, Optional, Callable, TYPE_CHECKING
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import os
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from core.main_terminal import MainTerminal
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from utils.logger import setup_logger
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from modules.personalization_manager import load_personalization_config
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from modules.versioning_manager import ConversationVersioningManager, VersioningError
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from utils.perf_log import perf_log, PerfTimer
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try:
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from config import MAX_TERMINALS, TERMINAL_BUFFER_SIZE, TERMINAL_DISPLAY_SIZE
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except ImportError:
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import sys
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from pathlib import Path
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project_root = Path(__file__).resolve().parents[1]
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if str(project_root) not in sys.path:
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sys.path.insert(0, str(project_root))
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from config import MAX_TERMINALS, TERMINAL_BUFFER_SIZE, TERMINAL_DISPLAY_SIZE
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from modules.terminal_manager import TerminalManager
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if TYPE_CHECKING:
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from modules.user_container_manager import ContainerHandle
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logger = setup_logger(__name__)
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class WebTerminal(MainTerminal):
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"""Web版本的终端，继承自MainTerminal，包含对话持久化功能"""
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def _ensure_conversation(self):
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"""确保Web端在首次进入时自动加载或创建对话"""
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if self.context_manager.current_conversation_id:
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return
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latest_list = self.context_manager.get_conversation_list(limit=1, offset=0)
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conversations = latest_list.get("conversations", []) if latest_list else []
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if conversations:
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latest = conversations[0]
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conv_id = latest.get("id")
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if conv_id:
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result = self.load_conversation(conv_id)
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if result.get("success"):
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print(f"[WebTerminal] 已加载最近对话: {conv_id}")
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return
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conversation_id = self.context_manager.start_new_conversation(
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project_path=self.project_path,
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thinking_mode=self.thinking_mode
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)
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print(f"[WebTerminal] 自动创建新对话: {conversation_id}")
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def __init__(
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self,
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project_path: str,
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thinking_mode: bool = False,
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run_mode: Optional[str] = None,
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message_callback: Optional[Callable] = None,
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data_dir: Optional[str] = None,
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container_session: Optional["ContainerHandle"] = None,
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usage_tracker: Optional[object] = None,
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):
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# 调用父类初始化（包含对话持久化功能）
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super().__init__(
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project_path,
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thinking_mode,
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run_mode=run_mode,
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data_dir=data_dir,
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container_session=container_session,
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usage_tracker=usage_tracker
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)
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# Web特有属性
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self.message_callback = message_callback
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self.web_mode = True
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# 默认允许输出（api_client.web_mode=False 表示允许 _print），若需静默可设置 WEB_API_SILENT=1
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self.api_client.web_mode = bool(os.environ.get("WEB_API_SILENT"))
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# 重新初始化终端管理器
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self.terminal_manager = TerminalManager(
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project_path=project_path,
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max_terminals=MAX_TERMINALS,
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terminal_buffer_size=TERMINAL_BUFFER_SIZE,
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terminal_display_size=TERMINAL_DISPLAY_SIZE,
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broadcast_callback=message_callback,
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container_session=self.container_session
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)
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# 让 run_command 与实时终端共享同一容器环境
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self.terminal_ops.attach_terminal_manager(self.terminal_manager)
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print(f"[WebTerminal] 初始化完成，项目路径: {project_path}")
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print(f"[WebTerminal] 初始模式: {self.run_mode}")
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print(f"[WebTerminal] 对话管理已就绪")
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# 设置token更新回调
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if message_callback is not None:
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self.context_manager._web_terminal_callback = message_callback
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print(f"[WebTerminal] 实时token统计已启用")
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else:
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print(f"[WebTerminal] 警告：message_callback为None，无法启用实时token统计")
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# ===========================================
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# 新增：对话管理相关方法（Web版本）
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# ===========================================
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def create_new_conversation(self, thinking_mode: bool = None, run_mode: Optional[str] = None) -> Dict:
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"""
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创建新对话（Web版本）
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Args:
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thinking_mode: 思考模式，None则使用当前设置
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run_mode: 显式的运行模式（fast/thinking/deep）
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Returns:
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Dict: 包含新对话信息
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"""
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perf_log("create_new_conversation enter")
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t0 = time.perf_counter()
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prefer_defaults = thinking_mode is None and run_mode is None
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thinking_mode_explicit = thinking_mode is not None
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# 先加载个性化默认配置（用于 start_new_conversation 的 metadata）
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prefs = {}
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preferred_model = None
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if prefer_defaults:
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try:
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prefs = load_personalization_config(self.data_dir)
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except Exception as exc:
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logger.warning("加载个性化偏好失败，将使用内置默认: %s", exc)
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preferred_model = prefs.get("default_model")
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preferred_mode = prefs.get("default_run_mode")
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preferred_permission_mode = prefs.get("default_permission_mode") or None
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if preferred_permission_mode not in ("readonly", "approval", "auto_approval", "unrestricted"):
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try:
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preferred_permission_mode = self.get_permission_mode()
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except Exception:
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preferred_permission_mode = None
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if not isinstance(preferred_permission_mode, str) or not preferred_permission_mode.strip():
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preferred_permission_mode = "unrestricted"
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if isinstance(preferred_mode, str) and preferred_mode.lower() in {"fast", "thinking", "deep"}:
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try:
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self.set_run_mode(preferred_mode.lower())
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except ValueError as exc:
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logger.warning("忽略无效默认运行模式 %s: %s", preferred_mode, exc)
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else:
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# 未配置默认模式时回到快速模式
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self.set_run_mode("fast")
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try:
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self.set_permission_mode(preferred_permission_mode, persist=False)
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except Exception:
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self.set_permission_mode("unrestricted", persist=False)
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if isinstance(run_mode, str):
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try:
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self.set_run_mode(run_mode)
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thinking_mode = self.thinking_mode
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except ValueError:
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logger.warning("无效的 run_mode 参数: %s", run_mode)
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elif thinking_mode_explicit:
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# run_mode 未显式传入但思考开关给定时，基于布尔值决定模式
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try:
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self.set_run_mode("thinking" if bool(thinking_mode) else "fast")
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except ValueError:
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pass
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if thinking_mode is None:
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thinking_mode = self.thinking_mode
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try:
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# 先创建新对话。start_new_conversation 会先 save_current_conversation()，
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# 此时 terminal.model_key 仍是旧对话的模型，避免把旧对话覆盖成默认模型。
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conversation_id = self.context_manager.start_new_conversation(
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project_path=self.project_path,
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thinking_mode=thinking_mode,
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run_mode=self.run_mode,
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metadata_overrides={
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"permission_mode": self.get_permission_mode(),
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"execution_mode": self.get_execution_mode() if hasattr(self, "get_execution_mode") else "sandbox",
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"pending_permission_mode": None,
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"pending_execution_mode": None,
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# frozen_*_prompt 不在创建时预设，由第一次 build_messages 根据当时的实际模式懒加载并冻结
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},
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)
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# 新对话创建完成后再应用默认模型（此时旧对话已安全保存）。
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if prefer_defaults and preferred_model:
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# 新对话视为“干净”会话，清除图片限制便于切换模型
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self.context_manager.has_images = False
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self.context_manager.has_videos = False
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try:
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self.set_model(preferred_model)
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except Exception as exc:
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logger.warning("忽略无效默认模型 %s: %s", preferred_model, exc)
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# 把默认模型同步到新对话的 metadata
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try:
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self.context_manager.conversation_manager.save_conversation(
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conversation_id=conversation_id,
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messages=self.context_manager.conversation_history,
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project_path=str(self.project_path),
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todo_list=self.context_manager.todo_list,
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thinking_mode=self.thinking_mode,
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run_mode=self.run_mode,
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model_key=self.model_key,
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has_images=False,
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has_videos=False,
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)
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except Exception as exc:
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logger.warning("保存新对话默认模型失败: %s", exc)
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perf_log("create_new_conversation before default versioning", elapsed_ms=(time.perf_counter() - t0) * 1000, extra={"conv_id": conversation_id})
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# 根据个性化设置默认开启版本控制
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try:
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default_versioning_enabled = bool((prefs or {}).get("versioning_enabled_by_default", True))
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if default_versioning_enabled:
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self._ensure_conversation_versioning_enabled(conversation_id)
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except Exception as exc:
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logger.warning("新对话应用默认版本控制失败: %s", exc)
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perf_log("create_new_conversation after default versioning", elapsed_ms=(time.perf_counter() - t0) * 1000, extra={"conv_id": conversation_id})
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# 重置相关状态
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if self.thinking_mode:
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self.api_client.start_new_task()
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self.current_session_id += 1
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perf_log("create_new_conversation done", elapsed_ms=(time.perf_counter() - t0) * 1000, extra={"conv_id": conversation_id})
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return {
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"success": True,
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"conversation_id": conversation_id,
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"message": f"已创建新对话: {conversation_id}"
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}
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except Exception as e:
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perf_log("create_new_conversation error", elapsed_ms=(time.perf_counter() - t0) * 1000, extra={"error": str(e)})
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return {
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"success": False,
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"error": str(e),
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"message": f"创建新对话失败: {e}"
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}
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def _ensure_conversation_versioning_enabled(self, conversation_id: str) -> None:
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"""为指定对话启用版本控制（初始快照）。"""
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normalized_id = conversation_id if conversation_id.startswith("conv_") else f"conv_{conversation_id}"
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t0 = time.perf_counter()
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perf_log("_ensure_conversation_versioning_enabled enter", extra={"conv_id": normalized_id})
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is_host = bool(getattr(self, "_is_host_mode", lambda: False)())
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from modules.personalization_manager import load_personalization_config
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personal_config = load_personalization_config(self.data_dir)
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backup_mode = str(personal_config.get("versioning_backup_mode") or "shallow").strip().lower()
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backup_mode = "full" if backup_mode == "full" else "shallow"
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# 浅备份模式下不启用完整 workspace git 备份，只保留对话记录回溯
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if backup_mode == "shallow":
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tracking_mode = ConversationVersioningManager.TRACKING_MODE_CONVERSATION_ONLY
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elif is_host:
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tracking_mode = ConversationVersioningManager.TRACKING_MODE_WORKSPACE_AND_CONVERSATION
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else:
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tracking_mode = ConversationVersioningManager.TRACKING_MODE_CONVERSATION_ONLY
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manager = ConversationVersioningManager(
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project_path=self.project_path,
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data_dir=self.data_dir,
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conversation_id=normalized_id,
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)
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perf_log("_ensure_conversation_versioning_enabled manager created", elapsed_ms=(time.perf_counter() - t0) * 1000, extra={"conv_id": normalized_id})
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meta = manager.set_enabled(enabled=True, mode="overwrite", tracking_mode=tracking_mode)
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perf_log("_ensure_conversation_versioning_enabled set_enabled done", elapsed_ms=(time.perf_counter() - t0) * 1000, extra={"conv_id": normalized_id})
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conv_data = self.context_manager.conversation_manager.load_conversation(normalized_id) or {}
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snapshot_payload = {
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"conversation_id": normalized_id,
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"title": conv_data.get("title"),
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"metadata": conv_data.get("metadata") or {},
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"messages": conv_data.get("messages") or [],
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"message_index": -1,
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"run_status": "initial",
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}
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init_result = manager.ensure_initial_checkpoint(
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workspace_path=str(self.project_path),
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conversation_snapshot=snapshot_payload,
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tracking_mode=tracking_mode,
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)
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perf_log("_ensure_conversation_versioning_enabled initial checkpoint done", elapsed_ms=(time.perf_counter() - t0) * 1000, extra={"conv_id": normalized_id})
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init_row = init_result.get("row") or {}
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if init_row.get("tree_hash"):
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meta["last_tree_hash"] = init_row.get("tree_hash")
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self.context_manager.conversation_manager.update_conversation_metadata(
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normalized_id,
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{
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"versioning": {
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"enabled": True,
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"mode": "overwrite",
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"tracking_mode": tracking_mode,
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"backup_mode": backup_mode,
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"last_commit": meta.get("last_tree_hash"),
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"last_input_seq": int(meta.get("last_input_seq") or 0),
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"updated_at": datetime.now().isoformat(),
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}
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},
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)
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perf_log("_ensure_conversation_versioning_enabled done", elapsed_ms=(time.perf_counter() - t0) * 1000, extra={"conv_id": normalized_id})
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def load_conversation(self, conversation_id: str) -> Dict:
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"""
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加载指定对话（Web版本）
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Args:
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conversation_id: 对话ID
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Returns:
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Dict: 加载结果
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"""
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try:
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success = self.context_manager.load_conversation_by_id(conversation_id)
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if success:
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# 根据对话元数据同步思考模式
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try:
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conv_data = self.context_manager.conversation_manager.load_conversation(conversation_id) or {}
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meta = conv_data.get("metadata", {}) or {}
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mode = bool(meta.get("thinking_mode", self.thinking_mode))
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self.thinking_mode = mode
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self.api_client.thinking_mode = mode
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self.api_client.start_new_task()
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permission_mode = str(meta.get("permission_mode") or "").strip().lower()
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if permission_mode:
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try:
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self.set_permission_mode(permission_mode, persist=False)
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except Exception:
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pass
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execution_mode = str(meta.get("execution_mode") or "").strip().lower()
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if execution_mode in {"sandbox", "direct"}:
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try:
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self.set_execution_mode(execution_mode)
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except Exception:
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pass
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network_permission = str(meta.get("network_permission") or "").strip().lower()
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if network_permission in {"restricted", "full", "none"}:
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try:
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self.set_network_permission(network_permission)
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except Exception:
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pass
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saved_model_key = meta.get("model_key")
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if saved_model_key:
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try:
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self.set_model(saved_model_key)
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except Exception as exc:
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logger.warning("加载对话模型 %s 失败: %s", saved_model_key, exc)
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self.pending_permission_mode = str(meta.get("pending_permission_mode") or "").strip().lower() or None
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self.pending_execution_mode = str(meta.get("pending_execution_mode") or "").strip().lower() or None
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self.pending_network_permission = str(meta.get("pending_network_permission") or "").strip().lower() or None
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# 多智能体模式：以会话 metadata.multi_agent_mode 为唯一切换开关
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self.multi_agent_mode = bool(meta.get("multi_agent_mode", False))
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# 同步主智能体 sub_agent_manager 的 开关
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try:
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if hasattr(self, "sub_agent_manager"):
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self.sub_agent_manager.multi_agent_mode = self.multi_agent_mode
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except Exception:
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pass
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except Exception:
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pass
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# 重置相关状态
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self.current_session_id += 1
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# 获取对话信息
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conversation_data = self.context_manager.conversation_manager.load_conversation(conversation_id)
|
||
if not conversation_data:
|
||
return {
|
||
"success": False,
|
||
"error": "对话数据缺失",
|
||
"message": f"对话数据缺失: {conversation_id}"
|
||
}
|
||
|
||
return {
|
||
"success": True,
|
||
"conversation_id": conversation_id,
|
||
"title": conversation_data.get("title", "未知对话"),
|
||
"messages_count": len(self.context_manager.conversation_history),
|
||
"run_mode": self.run_mode,
|
||
"thinking_mode": self.thinking_mode,
|
||
"model_key": getattr(self, "model_key", None),
|
||
"message": f"对话已加载: {conversation_id}"
|
||
}
|
||
else:
|
||
return {
|
||
"success": False,
|
||
"error": "对话不存在或加载失败",
|
||
"message": f"对话加载失败: {conversation_id}"
|
||
}
|
||
|
||
except Exception as e:
|
||
return {
|
||
"success": False,
|
||
"error": str(e),
|
||
"message": f"加载对话异常: {e}"
|
||
}
|
||
|
||
def get_conversations_list(self, limit: int = 20, offset: int = 0, non_empty: bool = False) -> Dict:
|
||
"""获取对话列表（Web版本）"""
|
||
try:
|
||
result = self.context_manager.get_conversation_list(limit=limit, offset=offset, non_empty=non_empty)
|
||
return {
|
||
"success": True,
|
||
"data": result
|
||
}
|
||
except Exception as e:
|
||
return {
|
||
"success": False,
|
||
"error": str(e),
|
||
"message": f"获取对话列表失败: {e}"
|
||
}
|
||
|
||
def delete_conversation(self, conversation_id: str) -> Dict:
|
||
"""删除指定对话（Web版本）"""
|
||
try:
|
||
success = self.context_manager.delete_conversation_by_id(conversation_id)
|
||
if success:
|
||
return {
|
||
"success": True,
|
||
"message": f"对话已删除: {conversation_id}"
|
||
}
|
||
else:
|
||
return {
|
||
"success": False,
|
||
"error": "删除失败",
|
||
"message": f"对话删除失败: {conversation_id}"
|
||
}
|
||
except Exception as e:
|
||
return {
|
||
"success": False,
|
||
"error": str(e),
|
||
"message": f"删除对话异常: {e}"
|
||
}
|
||
|
||
def search_conversations(self, query: str, limit: int = 20) -> Dict:
|
||
"""搜索对话（Web版本）"""
|
||
try:
|
||
results = self.context_manager.search_conversations(query, limit)
|
||
return {
|
||
"success": True,
|
||
"results": results,
|
||
"count": len(results)
|
||
}
|
||
except Exception as e:
|
||
return {
|
||
"success": False,
|
||
"error": str(e),
|
||
"message": f"搜索对话失败: {e}"
|
||
}
|
||
|
||
# ===========================================
|
||
# 修改现有方法，保持兼容性
|
||
# ===========================================
|
||
|
||
def get_status(self) -> Dict:
|
||
"""获取系统状态（Web版本，集成对话信息）"""
|
||
# 获取基础状态
|
||
context_status = self.context_manager.check_context_size()
|
||
memory_stats = self.memory_manager.get_memory_stats()
|
||
structure = self.context_manager.get_project_structure()
|
||
|
||
# 聚焦功能已废弃
|
||
focused_files_dict = {}
|
||
|
||
# 终端状态
|
||
terminal_status = None
|
||
if self.terminal_manager:
|
||
terminal_status = self.terminal_manager.list_terminals()
|
||
|
||
# 构建状态信息
|
||
limit_bytes = getattr(self, "project_storage_limit_bytes", None)
|
||
status = {
|
||
"project_path": self.project_path,
|
||
"thinking_mode": self.thinking_mode,
|
||
"thinking_status": self.get_thinking_mode_status(),
|
||
"run_mode": self.run_mode,
|
||
"model_key": getattr(self, "model_key", None),
|
||
"permission_mode": self.get_permission_mode() if hasattr(self, "get_permission_mode") else "unrestricted",
|
||
"execution_mode": self.get_execution_mode_state() if hasattr(self, "get_execution_mode_state") else {"mode": "sandbox"},
|
||
"network_permission": self.get_network_permission() if hasattr(self, "get_network_permission") else "restricted",
|
||
"pending_runtime_modes": self.get_pending_runtime_modes() if hasattr(self, "get_pending_runtime_modes") else {},
|
||
"execution_mode_enabled": bool(self._is_host_mode()) and getattr(self, "user_role", "user") == "admin",
|
||
"network_permission_enabled": bool(self._is_host_mode()) and getattr(self, "user_role", "user") == "admin",
|
||
"has_images": getattr(self.context_manager, "has_images", False),
|
||
"has_videos": getattr(self.context_manager, "has_videos", False),
|
||
"context": {
|
||
"usage_percent": context_status['usage_percent'],
|
||
"total_size": context_status['sizes']['total'],
|
||
"conversation_count": len(self.context_manager.conversation_history)
|
||
},
|
||
"focused_files": focused_files_dict,
|
||
"focused_files_count": 0,
|
||
"terminals": terminal_status,
|
||
"project": {
|
||
"total_files": structure['total_files'],
|
||
"total_size": structure['total_size'],
|
||
"limit_bytes": limit_bytes,
|
||
"limit_label": self.project_storage_limit,
|
||
"usage_percent": (structure['total_size'] / limit_bytes * 100) if limit_bytes else None
|
||
},
|
||
"memory": {
|
||
"main": memory_stats['main_memory']['lines'],
|
||
"task": memory_stats['task_memory']['lines']
|
||
},
|
||
# 新增：对话状态
|
||
"conversation": {
|
||
"current_id": self.context_manager.current_conversation_id,
|
||
# 首屏不再同步计算全量对话统计；统计面板按需调用
|
||
# /api/conversations/statistics，避免刷新时读取所有历史对话文件。
|
||
"total_conversations": 0,
|
||
"total_messages": 0,
|
||
"total_tools": 0
|
||
}
|
||
}
|
||
status["todo_list"] = self.context_manager.get_todo_snapshot()
|
||
|
||
return status
|
||
|
||
def get_thinking_mode_status(self) -> str:
|
||
"""获取思考模式状态描述"""
|
||
return "思考模式" if self.thinking_mode else "快速模式"
|
||
|
||
def broadcast(self, event_type: str, data: Dict):
|
||
"""广播事件到WebSocket"""
|
||
if self.message_callback:
|
||
payload = dict(data or {})
|
||
payload.setdefault('conversation_id', self.context_manager.current_conversation_id)
|
||
self.message_callback(event_type, payload)
|
||
|
||
# ===========================================
|
||
# 覆盖父类方法，添加Web特有的广播功能
|
||
# ===========================================
|
||
|
||
async def handle_tool_call(self, tool_name: str, arguments: Dict) -> str:
|
||
"""
|
||
处理工具调用（Web版本）
|
||
覆盖父类方法，添加增强的实时广播功能
|
||
"""
|
||
# 立即广播工具执行开始事件（不等待）
|
||
self.broadcast('tool_execution_start', {
|
||
'tool': tool_name,
|
||
'arguments': arguments,
|
||
'status': 'executing',
|
||
'message': f'正在执行 {tool_name}...'
|
||
})
|
||
|
||
# 对于某些工具，发送更详细的状态
|
||
if tool_name == "create_file":
|
||
self.broadcast('tool_status', {
|
||
'tool': tool_name,
|
||
'status': 'creating',
|
||
'detail': f'创建文件: {arguments.get("path", "未知路径")}'
|
||
})
|
||
elif tool_name == "read_file":
|
||
read_type = arguments.get("type", "read")
|
||
self.broadcast('tool_status', {
|
||
'tool': tool_name,
|
||
'status': 'reading',
|
||
'detail': f'读取文件({read_type}): {arguments.get("path", "未知路径")}'
|
||
})
|
||
elif tool_name == "delete_file":
|
||
self.broadcast('tool_status', {
|
||
'tool': tool_name,
|
||
'status': 'deleting',
|
||
'detail': f'删除文件: {arguments.get("path", "未知路径")}'
|
||
})
|
||
elif tool_name == "web_search":
|
||
query = arguments.get("query", "")
|
||
filters = []
|
||
topic = arguments.get("topic")
|
||
if topic:
|
||
filters.append(f"topic={topic}")
|
||
else:
|
||
filters.append("topic=general")
|
||
if arguments.get("time_range"):
|
||
filters.append(f"time_range={arguments['time_range']}")
|
||
if arguments.get("days") is not None:
|
||
filters.append(f"days={arguments.get('days')}")
|
||
if arguments.get("start_date") and arguments.get("end_date"):
|
||
filters.append(f"{arguments.get('start_date')}~{arguments.get('end_date')}")
|
||
if arguments.get("country"):
|
||
filters.append(f"country={arguments.get('country')}")
|
||
include_domains = arguments.get("include_domains")
|
||
if isinstance(include_domains, list) and include_domains:
|
||
filters.append(f"include_domains={len(include_domains)}")
|
||
filter_text = " | ".join(filter_item for filter_item in filters if filter_item)
|
||
self.broadcast('tool_status', {
|
||
'tool': tool_name,
|
||
'status': 'searching',
|
||
'detail': f'搜索: {query}' + (f' ({filter_text})' if filter_text else '')
|
||
})
|
||
elif tool_name == "extract_webpage":
|
||
self.broadcast('tool_status', {
|
||
'tool': tool_name,
|
||
'status': 'extracting',
|
||
'detail': f'提取网页: {arguments.get("url", "")}'
|
||
})
|
||
elif tool_name == "save_webpage":
|
||
self.broadcast('tool_status', {
|
||
'tool': tool_name,
|
||
'status': 'saving_webpage',
|
||
'detail': f'保存网页: {arguments.get("url", "")}'
|
||
})
|
||
elif tool_name == "run_command":
|
||
self.broadcast('tool_status', {
|
||
'tool': tool_name,
|
||
'status': 'running_command',
|
||
'detail': f'执行命令: {arguments.get("command", "")}'
|
||
})
|
||
elif tool_name == "terminal_session":
|
||
action = arguments.get("action", "")
|
||
session_name = arguments.get("session_name", "default")
|
||
self.broadcast('tool_status', {
|
||
'tool': tool_name,
|
||
'status': f'terminal_{action}',
|
||
'detail': f'终端操作: {action} - {session_name}'
|
||
})
|
||
elif tool_name == "terminal_input":
|
||
command = arguments.get("command", "")
|
||
# 只显示命令的前50个字符避免过长
|
||
display_command = command[:50] + "..." if len(command) > 50 else command
|
||
self.broadcast('tool_status', {
|
||
'tool': tool_name,
|
||
'status': 'sending_input',
|
||
'detail': f'发送终端输入: {display_command}'
|
||
})
|
||
elif tool_name == "sleep":
|
||
seconds = arguments.get("seconds", 1)
|
||
reason = arguments.get("reason", "等待操作完成")
|
||
self.broadcast('tool_status', {
|
||
'tool': tool_name,
|
||
'status': 'waiting',
|
||
'detail': f'等待 {seconds} 秒: {reason}'
|
||
})
|
||
|
||
# 调用父类的工具处理（包含我们的新逻辑）
|
||
result = await super().handle_tool_call(tool_name, arguments)
|
||
logger.debug(
|
||
"[SubAgent][WebTerminal] tool=%s 执行完成，result前200=%s",
|
||
tool_name,
|
||
result[:200] if isinstance(result, str) else result,
|
||
)
|
||
|
||
# 解析结果并广播工具结束事件
|
||
try:
|
||
result_data = json.loads(result)
|
||
success = result_data.get('success', False)
|
||
|
||
# 特殊处理某些错误类型
|
||
if not success:
|
||
error_msg = result_data.get('error')
|
||
if not error_msg:
|
||
error_msg = result_data.get('message')
|
||
if not error_msg:
|
||
error_msg = '执行失败'
|
||
if not isinstance(error_msg, str):
|
||
error_msg = str(error_msg)
|
||
|
||
# 检查是否是参数预检查失败
|
||
if error_msg and ('参数过大' in error_msg or '内容过长' in error_msg):
|
||
self.broadcast('tool_execution_end', {
|
||
'tool': tool_name,
|
||
'success': False,
|
||
'result': result_data,
|
||
'message': f'{tool_name} 执行失败: 参数过长',
|
||
'error_type': 'parameter_too_long',
|
||
'suggestion': result_data.get('suggestion', '建议分块处理')
|
||
})
|
||
elif error_msg and ('JSON解析' in error_msg or '参数解析失败' in error_msg):
|
||
self.broadcast('tool_execution_end', {
|
||
'tool': tool_name,
|
||
'success': False,
|
||
'result': result_data,
|
||
'message': f'{tool_name} 执行失败: 参数格式错误',
|
||
'error_type': 'parameter_format_error',
|
||
'suggestion': result_data.get('suggestion', '请检查参数格式')
|
||
})
|
||
else:
|
||
# 一般错误
|
||
self.broadcast('tool_execution_end', {
|
||
'tool': tool_name,
|
||
'success': False,
|
||
'result': result_data,
|
||
'message': f'{tool_name} 执行失败: {error_msg}',
|
||
'error_type': 'general_error'
|
||
})
|
||
else:
|
||
# 成功的情况
|
||
success_msg = result_data.get('message', f'{tool_name} 执行成功')
|
||
self.broadcast('tool_execution_end', {
|
||
'tool': tool_name,
|
||
'success': True,
|
||
'result': result_data,
|
||
'message': success_msg
|
||
})
|
||
|
||
except json.JSONDecodeError:
|
||
# 无法解析JSON结果
|
||
success = False
|
||
result_data = {'output': result, 'raw_result': True}
|
||
self.broadcast('tool_execution_end', {
|
||
'tool': tool_name,
|
||
'success': False,
|
||
'result': result_data,
|
||
'message': f'{tool_name} 返回了非JSON格式结果',
|
||
'error_type': 'invalid_result_format'
|
||
})
|
||
|
||
# 如果是终端相关操作，广播终端更新
|
||
if tool_name in ['terminal_session', 'terminal_input'] and self.terminal_manager:
|
||
try:
|
||
terminals = self.terminal_manager.get_terminal_list()
|
||
self.broadcast('terminal_list_update', {
|
||
'terminals': terminals,
|
||
'active': self.terminal_manager.active_terminal
|
||
})
|
||
except Exception as e:
|
||
logger.error(f"广播终端更新失败: {e}")
|
||
|
||
# 如果是文件操作，广播文件树更新
|
||
if tool_name in ['create_file', 'delete_file', 'rename_file', 'create_folder', 'save_webpage']:
|
||
if not self.context_manager._is_host_mode_without_safety():
|
||
try:
|
||
structure = self.context_manager.get_project_structure()
|
||
self.broadcast('file_tree_update', structure)
|
||
except Exception as e:
|
||
logger.error(f"广播文件树更新失败: {e}")
|
||
|
||
# 如果是记忆操作，广播记忆状态更新
|
||
if tool_name == 'update_memory':
|
||
try:
|
||
memory_stats = self.memory_manager.get_memory_stats()
|
||
self.broadcast('memory_update', {
|
||
'main': memory_stats['main_memory']['lines'],
|
||
'task': memory_stats['task_memory']['lines']
|
||
})
|
||
except Exception as e:
|
||
logger.error(f"广播记忆更新失败: {e}")
|
||
|
||
return result
|
||
|
||
def build_context(self) -> Dict:
|
||
"""构建上下文（Web版本）"""
|
||
context = super().build_context()
|
||
|
||
# 添加Web特有的上下文信息
|
||
context['web_mode'] = True
|
||
context['terminal_sessions'] = []
|
||
|
||
if self.terminal_manager:
|
||
for name, terminal in self.terminal_manager.terminals.items():
|
||
context['terminal_sessions'].append({
|
||
'name': name,
|
||
'is_active': name == self.terminal_manager.active_terminal,
|
||
'is_running': terminal.is_running
|
||
})
|
||
|
||
# 添加对话信息
|
||
context['conversation_info'] = {
|
||
'current_id': self.context_manager.current_conversation_id,
|
||
'messages_count': len(self.context_manager.conversation_history)
|
||
}
|
||
|
||
return context
|
||
|
||
async def confirm_action(self, action: str, arguments: Dict) -> bool:
|
||
"""
|
||
确认危险操作（Web版本）
|
||
在Web模式下，我们自动确认或通过WebSocket请求确认
|
||
"""
|
||
# 在Web模式下，暂时自动确认
|
||
# 未来可以通过WebSocket向前端请求确认
|
||
print(f"[WebTerminal] 自动确认操作: {action}")
|
||
|
||
# 广播确认事件，让前端知道正在执行危险操作
|
||
self.broadcast('dangerous_action', {
|
||
'action': action,
|
||
'arguments': arguments,
|
||
'auto_confirmed': True
|
||
})
|
||
|
||
return True
|
||
|
||
def __del__(self):
|
||
"""析构函数，确保资源释放"""
|
||
try:
|
||
# 保存当前对话
|
||
if hasattr(self, 'context_manager') and self.context_manager:
|
||
if self.context_manager.current_conversation_id:
|
||
self.context_manager.save_current_conversation()
|
||
|
||
# 关闭所有终端
|
||
if hasattr(self, 'terminal_manager') and self.terminal_manager:
|
||
self.terminal_manager.close_all()
|
||
|
||
except Exception as e:
|
||
print(f"[WebTerminal] 资源清理失败: {e}")
|