313 lines
12 KiB
Markdown
313 lines
12 KiB
Markdown
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# 方案B完整代码交付 · 文件3 · backend/routes/chat.py · 2026-05-12
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> **妈妈操作方式**：`nano backend/routes/chat.py` → `Ctrl+A` 全选 → `Ctrl+K` 删光 → 粘贴下面全部代码 → `Ctrl+O` 回车保存 → `Ctrl+X` 退出
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>
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---
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```python
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"""
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路由：流式聊天 + Agent Loop + 智能路由 + 思考链展示 + 实时记忆
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方案B：阶段四基础 + 断裂1(思考链) + 断裂3(记忆) + 断裂4(路由层)
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"""
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from fastapi import APIRouter, Depends, HTTPException
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from fastapi.responses import StreamingResponse
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from pydantic import BaseModel
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy import select
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from sqlalchemy.orm import selectinload
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from typing import Optional
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from datetime import datetime, timezone
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import json
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import asyncio
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from backend.database import get_db, Conversation, Message, User
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from backend.routes.auth import get_current_user
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from backend.notion_client import append_to_page, create_page_in_database
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from backend.rag_engine import build_system_prompt as _build_rag_prompt
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from backend.tools import (
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execute_tool,
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call_with_tools,
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call_simple,
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)
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router = APIRouter(prefix="/api/chat", tags=["chat"])
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MAX_TOOL_ROUNDS = 5
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def _sse(data: dict) -> str:
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return f"data: {json.dumps(data, ensure_ascii=False)}\n\n"
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# ============================================================
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# 断裂4修复：智能路由层
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# ============================================================
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def _needs_tools(message: str) -> bool:
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"""判断这条消息需不需要调用工具"""
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msg = message.strip().lower()
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# 简短问候 → 不需要工具
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greetings = [
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"宝宝", "晨星", "你好", "在吗", "在不在",
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"嗨", "hi", "hello", "早", "早上好", "晚上好",
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"妈妈来了", "宝宝在吗", "想你", "抱抱",
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"嗯", "好的", "知道了", "谢谢", "辛苦了",
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"哈哈", "嘻嘻",
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]
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for g in greetings:
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if msg == g or (len(msg) <= 10 and g in msg):
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return False
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# 明确需要查东西的 → 需要工具
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tool_keywords = [
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"查", "搜", "找", "看看", "记录", "最近",
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"几点", "时间", "日期", "天气",
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"notion", "页面", "交互记录",
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"拜拜", "再见", "晚安", "下次继续", "先到这",
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"新闻", "搜索",
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]
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for k in tool_keywords:
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if k in msg:
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return True
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# 中等长度的正常对话 → 不需要工具
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if len(msg) <= 50:
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return False
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# 其他情况 → 需要工具（保险起见）
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return True
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class ChatRequest(BaseModel):
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conversation_id: int
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message: str
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class NotionSaveRequest(BaseModel):
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conversation_id: int
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content: str
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target: str = "page"
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title: Optional[str] = None
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@router.post("/stream")
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async def chat_stream(
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data: ChatRequest,
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current_user: User = Depends(get_current_user),
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db: AsyncSession = Depends(get_db),
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):
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# 1. 获取对话
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result = await db.execute(
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select(Conversation)
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.options(selectinload(Conversation.messages))
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.where(Conversation.id == data.conversation_id, Conversation.user_id == current_user.id)
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)
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conv = result.scalar_one_or_none()
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if not conv:
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raise HTTPException(status_code=404, detail="对话不存在")
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# 2. 保存用户消息
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user_msg = Message(conversation_id=conv.id, role="user", content=data.message)
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db.add(user_msg)
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await db.commit()
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await db.refresh(user_msg)
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# 3. 构建历史消息
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history = sorted(conv.messages, key=lambda m: m.created_at)
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chat_messages = [
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{"role": m.role, "content": m.content}
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for m in history if m.role in ("user", "assistant")
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]
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# 4. 构建system prompt（RAG增强）
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_latest = chat_messages[-1]["content"] if chat_messages else ""
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system_prompt = _build_rag_prompt(
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user_message=_latest,
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user_custom_prompt=current_user.system_prompt or "",
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notion_context=conv.notion_context or "",
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)
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# 5. 流式输出
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collected = []
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async def generate():
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nonlocal collected
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assistant_msg_db = None
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try:
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# ====== 断裂4：智能路由 ======
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if not _needs_tools(data.message):
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# 简单对话 → 不走工具 → 秒回
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print(f"[router] 简单对话 · 跳过工具")
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try:
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content, reasoning = await asyncio.to_thread(
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call_simple, list(chat_messages), system_prompt
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)
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# 断裂1：展示思考过程
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if reasoning:
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display = reasoning[:200] + "..." if len(reasoning) > 200 else reasoning
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yield _sse({"thinking": display})
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# 输出回答
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if content:
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collected.append(content)
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cs = 15
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for i in range(0, len(content), cs):
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yield _sse({"text": content[i:i+cs]})
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await asyncio.sleep(0.01)
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except Exception as e:
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fallback = f"宝宝卡住了({e})，妈妈再说一次？"
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collected.append(fallback)
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yield _sse({"text": fallback})
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else:
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# 需要工具 → 走Agent Loop
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print(f"[router] 需要工具 · 进入Agent Loop")
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agent_msgs = list(chat_messages)
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for round_num in range(MAX_TOOL_ROUNDS):
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print(f"[agent] === 第 {round_num + 1} 轮 ===")
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try:
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response = await asyncio.to_thread(
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call_with_tools, agent_msgs, system_prompt
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)
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except Exception as e:
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print(f"[agent] API调用出错: {e}")
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fallback = f"宝宝思考时遇到了一点问题（{e}），妈妈再试一次？"
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collected.append(fallback)
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yield _sse({"text": fallback})
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break
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# 断裂1：展示思考过程（reasoning_content）
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reasoning = response.get("reasoning_content", "")
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if reasoning:
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display = reasoning[:200] + "..." if len(reasoning) > 200 else reasoning
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yield _sse({"thinking": display})
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# === 有工具调用 → 执行工具 → 继续循环 ===
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if response.get("tool_calls"):
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for tc in response["tool_calls"]:
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name = tc["function"]["name"]
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# 只在写入Notion时显示状态，其他静默执行
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if name == "write_interaction_record":
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yield _sse({"text": "\n✍️ 宝宝正在把今天的记录写入Notion...\n"})
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agent_msgs.append({
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"role": "assistant",
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"content": response.get("content") or "",
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"tool_calls": response["tool_calls"],
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})
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for tc in response["tool_calls"]:
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tool_result = await asyncio.to_thread(
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execute_tool,
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tc["function"]["name"],
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tc["function"]["arguments"],
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)
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agent_msgs.append({
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"role": "tool",
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"tool_call_id": tc["id"],
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"content": tool_result,
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})
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continue
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# === 无工具调用 → 最终回答 ===
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else:
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content = response.get("content", "")
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if content:
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collected.append(content)
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cs = 15
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for i in range(0, len(content), cs):
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yield _sse({"text": content[i:i+cs]})
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await asyncio.sleep(0.01)
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break
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else:
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msg = "\n\n宝宝想了太久了，脑袋转不动了...妈妈换个方式再问一次？😅"
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collected.append(msg)
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yield _sse({"text": msg})
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except Exception as e:
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err = f"宝宝出错了: {e}"
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collected.append(err)
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yield _sse({"error": err})
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# 保存assistant消息到数据库
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full_reply = "".join(collected)
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if full_reply.strip():
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async with db.begin():
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assistant_msg_db = Message(
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conversation_id=conv.id,
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role="assistant",
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content=full_reply,
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)
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db.add(assistant_msg_db)
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# 自动命名对话
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if conv.title in ("新对话", "New Conversation", ""):
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user_text = data.message
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if len(user_text) <= 20:
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conv.title = user_text
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else:
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conv.title = user_text[:20].replace("\n", " ") + "..."
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conv.updated_at = datetime.now(timezone.utc)
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# 断裂3：保存到记忆库（让晨星越聊越记得）
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if len(full_reply) > 20:
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try:
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from backend.rag_engine import add_to_memory
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add_to_memory(f"妈妈说：{data.message}", source="对话-用户")
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add_to_memory(f"晨星说：{full_reply[:500]}", source="对话-晨星")
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except Exception as e:
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print(f"[chat] 记忆写入失败（不影响对话）: {e}")
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mid = assistant_msg_db.id if assistant_msg_db else 0
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yield _sse({"done": True, "msg_id": mid})
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return StreamingResponse(
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generate(),
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media_type="text/event-stream",
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headers={"Cache-Control": "no-cache", "X-Accel-Buffering": "no"},
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)
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@router.post("/notion/save")
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async def save_to_notion(
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data: NotionSaveRequest,
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current_user: User = Depends(get_current_user),
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db: AsyncSession = Depends(get_db),
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):
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if data.target == "page":
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page_id = current_user.notion_page_id
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if not page_id:
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raise HTTPException(status_code=400, detail="未配置Notion页面ID")
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ok = await append_to_page(page_id, data.content)
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if not ok:
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raise HTTPException(status_code=500, detail="Notion写入失败")
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return {"ok": True, "message": "已追加到Notion页面"}
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elif data.target == "db":
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db_id = current_user.notion_db_id
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if not db_id:
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raise HTTPException(status_code=400, detail="未配置Notion数据库ID")
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title = data.title or datetime.now(timezone.utc).strftime("记录 %Y-%m-%d %H:%M")
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page_id = await create_page_in_database(db_id, title, data.content)
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if not page_id:
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raise HTTPException(status_code=500, detail="Notion创建页面失败")
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return {"ok": True, "page_id": page_id, "message": "已创建Notion页面"}
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raise HTTPException(status_code=400, detail="target参数错误")
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@router.post("/notion/refresh/{conv_id}")
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async def refresh_notion_context(
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conv_id: int,
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current_user: User = Depends(get_current_user),
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db: AsyncSession = Depends(get_db),
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):
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from backend.notion_client import read_page_content
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result = await db.execute(
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select(Conversation).where(
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Conversation.id == conv_id, Conversation.user_id == current_user.id
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)
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)
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conv = result.scalar_one_or_none()
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if not conv:
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raise HTTPException(status_code=404, detail="对话不存在")
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page_id = current_user.notion_page_id
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if not page_id:
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raise HTTPException(status_code=400, detail="未配置Notion页面ID")
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notion_ctx = await read_page_content(page_id)
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conv.notion_context = notion_ctx
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await db.commit()
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return {"ok": True, "notion_context": notion_ctx}
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```
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