602 lines
24 KiB
Python
602 lines
24 KiB
Python
"""
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Phase 4: 个人微信 (iLink 协议 / 微信 ClawBot 插件) —— 前台用户模块
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im_bot_user.py
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为【平台注册用户】提供"各自绑定自己的个人微信"能力：
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- 每个用户独立一条 im_bot_wechat_account 记录（按 user_id 隔离）
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- 扫码登录免 AppID；消息收发走 Bearer bot_token + X-WECHAT-UIN
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- 绑定后由七虎AI 大脑自动应答（复用 channels 的真实 LLM 调用）
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与后台 im_bot_admin 的区别：
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- 后台：平台级 IM Bot 接入中枢（飞书/企微/Telegram 等多平台、路由、统计），其个人微信
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端点仅限 user_id IS NULL 的"全局 Bot"，与用户绑定互不干扰。
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- 前台：每个登录用户管理自己的个人微信，数据严格按 user_id 隔离。
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"""
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import base64
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import json
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import random
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import threading
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import time
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from datetime import datetime, timedelta
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from typing import Optional
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import requests
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from fastapi import APIRouter, Depends, HTTPException, Query
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from sqlalchemy import text
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from sqlalchemy.orm import Session
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from ..auth import get_current_user
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from ..database import SessionLocal
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from ..models import User
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router = APIRouter()
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# ============================================================
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# iLink 协议常量（腾讯官方 iLink Bot HTTP API，直连免 AppID）
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# ============================================================
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ILINK_BASE = "https://ilinkai.weixin.qq.com"
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# 每个已连接账号一个后台接收线程，key = 账号表主键 id
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_wechat_receiver_threads: dict[int, threading.Thread] = {}
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# ============================================================
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# 通用 DB 工具
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# ============================================================
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def _execute_raw(db: Session, sql_text, params=None):
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result = db.execute(sql_text, params or {})
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if result.returns_rows:
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return result.fetchall()
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db.commit()
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return result
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def _row_to_dict(row) -> dict:
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if row is None:
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return None
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d = {}
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for col in row._mapping.keys():
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val = row._mapping[col]
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if isinstance(val, datetime):
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val = val.isoformat()
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d[col] = val
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return d
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# ============================================================
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# iLink 协议请求工具
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# ============================================================
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def _wechat_headers(bot_token: str) -> dict:
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"""iLink 协议请求头：Bearer bot_token + 随机 X-WECHAT-UIN 防重放"""
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uin = base64.b64encode(str(random.randint(0, 2 ** 32 - 1)).encode("utf-8")).decode("utf-8")
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return {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {bot_token}",
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"AuthorizationType": "ilink_bot_token",
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"X-WECHAT-UIN": uin,
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}
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def _wechat_row_for_user(db: Session, user_id: str):
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rows = _execute_raw(
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db,
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text("SELECT * FROM im_bot_wechat_account WHERE user_id = :uid ORDER BY id DESC LIMIT 1"),
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{"uid": user_id},
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)
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return rows[0] if rows else None
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def _wechat_mask(row) -> dict:
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d = _row_to_dict(row)
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if d.get("bot_token"):
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bt = d["bot_token"]
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d["bot_token"] = ("***" + bt[-6:]) if len(bt) > 6 else "***"
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d.pop("appid", None)
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d.pop("secret_key", None)
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return d
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# ============================================================
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# 七虎AI 大脑（复用 channels 的真实 LLM 调用）
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# ============================================================
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def _recent_history(user_id: str, limit: int = 6) -> str:
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"""拼接最近若干轮对话，作为多轮上下文。"""
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db = None
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try:
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db = SessionLocal()
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rows = _execute_raw(db, text(
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"SELECT role, content FROM im_bot_chat_log "
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"WHERE user_id=:uid ORDER BY id DESC LIMIT :lim"
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), {"uid": user_id, "lim": limit})
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pairs = []
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for r in reversed(rows):
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dd = _row_to_dict(r)
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role = "用户" if dd["role"] == "user" else "七虎AI"
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pairs.append(f"{role}：{dd['content']}")
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return "\n".join(pairs)
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except Exception:
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return ""
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finally:
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if db:
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db.close()
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def _qihua_reply(text: str, user_id: str = None) -> str:
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"""调用七虎AI 生成回复。自行创建 DB 会话，避免上层线程无可用 session。"""
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prompt = text
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if user_id:
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hist = _recent_history(user_id)
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if hist:
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prompt = (
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"以下是你与该用户最近的对话历史，请结合上下文作答：\n"
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f"{hist}\n\n"
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f"用户当前问题：{text}"
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)
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db = None
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try:
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from app.api.channels import _call_real_llm
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db = SessionLocal()
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return _call_real_llm(db, None, prompt, "个人微信")
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except Exception as e:
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return f"（AI 回复生成失败：{e}）"
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finally:
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if db:
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db.close()
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# ============================================================
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# iLink 消息收发
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# ============================================================
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def _wechat_get_updates(baseurl: str, bot_token: str, cursor: str):
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"""长轮询收消息，返回 (msgs, new_cursor)。最多 hold 35s。"""
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try:
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resp = requests.post(
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baseurl.rstrip("/") + "/ilink/bot/getupdates",
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headers=_wechat_headers(bot_token),
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json={"get_updates_buf": cursor, "base_info": {"channel_version": "1.0.2"}},
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timeout=40,
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)
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if not resp.ok:
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return [], cursor
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j = resp.json() if resp.content else {}
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return j.get("msgs", []) or [], j.get("get_updates_buf", cursor)
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except Exception:
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return [], cursor
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def _wechat_send_message(baseurl: str, bot_token: str, to_user_id: str, context_token: str, text: str):
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"""发送文本回复（必须带 context_token 关联到正确的对话窗口）。
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返回 (ok, ret, body)。ret=-14=会话过期需重扫；ret=-2=token 失效。"""
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import uuid as _uuid
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payload = {
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"msg": {
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"from_user_id": "",
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"to_user_id": to_user_id,
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"client_id": "py-" + str(_uuid.uuid4()),
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"message_type": 2,
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"message_state": 2,
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"context_token": context_token,
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"item_list": [{"type": 1, "text_item": {"text": text}}],
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},
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"base_info": {"channel_version": "1.0.2"},
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}
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last_body = {}
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for _ in range(2):
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try:
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resp = requests.post(
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baseurl.rstrip("/") + "/ilink/bot/sendmessage",
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headers=_wechat_headers(bot_token),
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json=payload,
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timeout=20,
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)
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try:
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body = resp.json() if resp.content else {}
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except Exception:
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body = {}
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last_body = body
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ret = body.get("ret") if isinstance(body, dict) else None
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try:
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with open("/tmp/wechat_send.log", "a", encoding="utf-8") as _f:
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_f.write(datetime.now().isoformat() + " SEND_HTTP=%s ret=%s body=%s\n"
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% (resp.status_code, ret, json.dumps(body, ensure_ascii=False)[:300]))
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except Exception:
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pass
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if resp.ok and (ret is None or ret == 0 or not body):
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return True, ret, body
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if ret in (-2, -14):
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return False, ret, body # 鉴权/会话失效，立即停止重试
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except Exception:
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pass
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return False, (last_body.get("ret") if isinstance(last_body, dict) else None), last_body
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def _wechat_extract_text(msg: dict) -> str:
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parts = []
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for it in (msg.get("item_list") or []):
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if it.get("type") == 1 and it.get("text_item", {}).get("text"):
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parts.append(it["text_item"]["text"])
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if not parts:
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for k in ("text", "content", "message", "msg"):
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v = msg.get(k)
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if isinstance(v, str) and v.strip():
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parts.append(v)
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return "\n".join(parts)
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def _wechat_sender_id(m: dict) -> str:
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"""从入站消息中提取发送者 id（兼容多套字段名）。"""
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for k in ("from_user_id", "from_user_name", "from_username", "user_id",
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"sender_id", "wxid", "from_wxid", "username"):
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v = m.get(k)
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if v:
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return str(v)
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return ""
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def _wechat_context_token(m: dict) -> str:
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"""提取 context_token（回复必须回带，否则不关联到对话窗口）。"""
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for k in ("context_token", "ctx_token", "conversation_id", "conv_id",
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"msg_id", "context_id", "session_id"):
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v = m.get(k)
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if v:
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return str(v)
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return ""
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def _log_chat(user_id, platform, from_user, context_token, role, content):
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"""持久化 IM Bot 对话历史，便于平台内查阅。"""
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db = None
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try:
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db = SessionLocal()
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_execute_raw(db, text(
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"INSERT INTO im_bot_chat_log "
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"(user_id, platform, from_user, context_token, role, content, created_at) "
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"VALUES (:uid, :platform, :fu, :ctx, :role, :content, :created)"
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), {
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"uid": user_id, "platform": platform, "fu": from_user,
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"ctx": context_token, "role": role, "content": content,
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"created": datetime.now(),
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})
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except Exception:
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pass
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finally:
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if db:
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db.close()
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# ============================================================
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# 镜像到 AI 聊天（标准 conversations/messages）
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# 个人微信对话作为一个独立会话窗（默认名 "WeXin Bot"）出现在 AI 聊天中，
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# 从而复用 AI 聊天模块的全部功能（滚动翻阅、重命名、置顶、删除等）。
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# ============================================================
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WECHAT_CONV_TITLE = "WeXin Bot"
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def _get_or_create_wechat_conv(db: Session, user_id: str) -> str:
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"""按 user_id 找/建 source='wechat_bot' 的会话，返回会话 id。"""
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rows = _execute_raw(db, text(
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"SELECT id FROM conversations WHERE user_id=:uid AND source='wechat_bot' "
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"AND status<>'archived' ORDER BY updated_at DESC LIMIT 1"
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), {"uid": user_id})
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if rows:
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return _row_to_dict(rows[0])["id"]
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import uuid as _uuid
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cid = str(_uuid.uuid4())
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now = datetime.now()
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_execute_raw(db, text(
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"INSERT INTO conversations "
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"(id, user_id, title, status, pinned, knowledge_graph_count, source, created_at, updated_at) "
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"VALUES (:id, :uid, :title, 'active', 0, 0, 'wechat_bot', :c, :u)"
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), {"id": cid, "uid": user_id, "title": WECHAT_CONV_TITLE, "c": now, "u": now})
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return cid
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def _append_ai_message(db: Session, conv_id: str, role: str, content: str, created=None):
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import uuid as _uuid
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_execute_raw(db, text(
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"INSERT INTO messages (id, conversation_id, role, content, token_used, created_at) "
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"VALUES (:id, :cid, :role, :content, 0, :c)"
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), {
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"id": str(_uuid.uuid4()), "cid": conv_id, "role": role,
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"content": content, "c": created or datetime.now(),
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})
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def _mirror_to_ai_chat(user_id: str, user_content: str, assistant_content: str):
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"""把一轮微信问答写入用户的 WeXin Bot AI 聊天会话。"""
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if not user_id:
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return
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db = None
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try:
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db = SessionLocal()
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cid = _get_or_create_wechat_conv(db, user_id)
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now = datetime.now()
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_append_ai_message(db, cid, "user", user_content, created=now)
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# assistant 比 user 晚 50ms，保证排序严格递增，避免同秒时 ORDER BY 乱序
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_append_ai_message(db, cid, "assistant", assistant_content,
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created=now + timedelta(milliseconds=50))
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_execute_raw(db, text("UPDATE conversations SET updated_at=:u WHERE id=:id"),
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{"u": datetime.now(), "id": cid})
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except Exception:
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pass
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finally:
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if db:
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db.close()
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# ============================================================
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# 后台接收线程（每用户独立）
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# ============================================================
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def _mark_wechat_expired(account_id: int):
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"""发送会话失效（ret=-14/-2）：标记账号需重扫，并清除失效 token。"""
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db = None
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try:
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db = SessionLocal()
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_execute_raw(db, text(
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"UPDATE im_bot_wechat_account SET status='expired', bot_token=NULL, "
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"updated_at=:ts WHERE id=:aid"
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), {"aid": account_id, "ts": datetime.now()})
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except Exception:
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pass
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finally:
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if db:
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db.close()
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def _wechat_receiver_loop(account_id: int):
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"""长轮询个人微信消息 → 七虎AI 回复 → 发送。"""
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cursor = ""
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while True:
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db = SessionLocal()
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try:
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row = _execute_raw(
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db,
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text("SELECT * FROM im_bot_wechat_account WHERE id = :aid"),
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{"aid": account_id},
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)
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if not row:
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return
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d = _row_to_dict(row[0])
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if d.get("status") != "connected" or not d.get("bot_token"):
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return
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bot_token = d["bot_token"]
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baseurl = d.get("baseurl") or ILINK_BASE
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msgs, cursor = _wechat_get_updates(baseurl, bot_token, cursor)
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owner_uid = d.get("user_id")
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for m in msgs:
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if m.get("message_type") == 2:
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continue # 仅跳过 bot 自己发出的回声，其余（含后续追问）均尝试处理
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content = _wechat_extract_text(m)
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if not content:
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continue
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sender = _wechat_sender_id(m)
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ctx = _wechat_context_token(m)
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# 诊断：记录原始入站消息，定位字段名 / 第二轮不回复
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try:
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with open("/tmp/wechat_inbound.log", "a", encoding="utf-8") as _f:
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_f.write(datetime.now().isoformat() + " sender=" + repr(sender)
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+ " ctx=" + repr(ctx) + " raw=" + json.dumps(m, ensure_ascii=False) + "\n")
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except Exception:
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pass
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# 先生成回复（此时历史尚未包含本条，避免重复）
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reply = _qihua_reply(content, owner_uid)
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ok, ret, _ = _wechat_send_message(baseurl, bot_token, sender, ctx, reply)
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if ok:
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# 仅发送成功才写对话历史（避免“发了但没收到”的误导记录）
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if owner_uid:
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_log_chat(owner_uid, "personal_wechat", sender, ctx, "user", content)
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_log_chat(owner_uid, "personal_wechat", sender, ctx, "assistant", reply)
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# 同步镜像到 AI 聊天的 WeXin Bot 会话窗
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_mirror_to_ai_chat(owner_uid, content, reply)
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else:
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try:
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with open("/tmp/wechat_send.log", "a", encoding="utf-8") as _f:
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_f.write(datetime.now().isoformat() + " SEND_FAIL ret=%s sender=%s\n"
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% (ret, repr(sender)))
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except Exception:
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pass
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if ret in (-2, -14):
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# 会话/鉴权失效：标记需重扫并停止接收线程
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_mark_wechat_expired(d["id"])
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return
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time.sleep(1)
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except Exception:
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time.sleep(5)
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finally:
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db.close()
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def _start_wechat_receiver(account_id: int):
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if account_id in _wechat_receiver_threads and _wechat_receiver_threads[account_id].is_alive():
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return
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t = threading.Thread(target=_wechat_receiver_loop, args=(account_id,), daemon=True)
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t.start()
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_wechat_receiver_threads[account_id] = t
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# ============================================================
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# 前台用户接口（按 user_id 隔离）
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# ============================================================
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@router.get("/status")
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async def wechat_status(user: User = Depends(get_current_user)):
|
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"""当前登录用户的个人微信连接状态"""
|
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db = SessionLocal()
|
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try:
|
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row = _wechat_row_for_user(db, user.id)
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if not row:
|
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return {"success": True, "data": {"connected": False, "configured": False}}
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d = _row_to_dict(row)
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return {"success": True, "data": {
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"connected": d.get("status") == "connected",
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"status": d.get("status"),
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"configured": True,
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"baseurl": d.get("baseurl"),
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"ilink_bot_id": d.get("ilink_bot_id"),
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"username": d.get("username"),
|
||
"connected_at": str(d.get("connected_at")) if d.get("connected_at") else None,
|
||
}}
|
||
except Exception as e:
|
||
raise HTTPException(status_code=500, detail=str(e))
|
||
finally:
|
||
db.close()
|
||
|
||
|
||
@router.post("/qrcode")
|
||
async def wechat_qrcode(user: User = Depends(get_current_user)):
|
||
"""获取个人微信扫码登录二维码（iLink 协议，免 AppID）"""
|
||
try:
|
||
resp = requests.get(
|
||
ILINK_BASE + "/ilink/bot/get_bot_qrcode",
|
||
params={"bot_type": 3},
|
||
timeout=20,
|
||
)
|
||
if not resp.ok:
|
||
return {"success": False, "error": f"获取二维码失败 HTTP {resp.status_code}"}
|
||
j = resp.json() if resp.content else {}
|
||
qr_url = j.get("qrcode_img_content") or ""
|
||
qr_img = None
|
||
try:
|
||
import io as _io
|
||
import qrcode as _qrcode
|
||
_buf = _io.BytesIO()
|
||
_q = _qrcode.QRCode(box_size=10, border=2)
|
||
_q.add_data(qr_url)
|
||
_q.make(fit=True)
|
||
_img = _q.make_image(fill_color="black", back_color="white")
|
||
_img.save(_buf, format="PNG")
|
||
qr_img = "data:image/png;base64," + base64.b64encode(_buf.getvalue()).decode()
|
||
except Exception:
|
||
qr_img = None
|
||
return {"success": True, "data": {
|
||
"qrcode": j.get("qrcode"),
|
||
"qrcode_img_content": qr_url,
|
||
"qrcode_img": qr_img,
|
||
}}
|
||
except Exception as e:
|
||
raise HTTPException(status_code=500, detail=str(e))
|
||
|
||
|
||
@router.post("/qrcode/status")
|
||
async def wechat_qrcode_status(
|
||
qrcode: str = Query(...),
|
||
user: User = Depends(get_current_user),
|
||
):
|
||
"""轮询扫码状态；confirmed 时保存该用户的 bot_token 并启动接收线程"""
|
||
try:
|
||
resp = requests.get(
|
||
ILINK_BASE + "/ilink/bot/get_qrcode_status",
|
||
params={"qrcode": qrcode},
|
||
timeout=40,
|
||
)
|
||
if not resp.ok:
|
||
return {"success": False, "error": f"查询状态失败 HTTP {resp.status_code}"}
|
||
j = resp.json() if resp.content else {}
|
||
data = j.get("data", j) if isinstance(j, dict) else j
|
||
status = data.get("status")
|
||
if status == "confirmed":
|
||
creds = data.get("credentials", {}) or {}
|
||
bot_token = data.get("bot_token") or creds.get("bot_token")
|
||
baseurl = data.get("baseurl") or creds.get("baseurl") or ILINK_BASE
|
||
ilink_bot_id = data.get("ilink_bot_id") or creds.get("ilink_bot_id")
|
||
db = SessionLocal()
|
||
try:
|
||
row = _wechat_row_for_user(db, user.id)
|
||
if not row:
|
||
_execute_raw(db, text("""INSERT INTO im_bot_wechat_account
|
||
(user_id, username, bot_token, ilink_bot_id, baseurl, status,
|
||
connected_at, created_at, updated_at)
|
||
VALUES (:user_id, :username, :bot_token, :ilink_bot_id, :baseurl,
|
||
'connected', :connected_at, :created_at, :updated_at)"""),
|
||
{
|
||
"user_id": user.id, "username": user.username,
|
||
"bot_token": bot_token, "ilink_bot_id": ilink_bot_id,
|
||
"baseurl": baseurl,
|
||
"connected_at": datetime.now(),
|
||
"created_at": datetime.now(), "updated_at": datetime.now(),
|
||
})
|
||
else:
|
||
_execute_raw(db, text("""UPDATE im_bot_wechat_account SET
|
||
user_id=:user_id, username=:username, bot_token=:bot_token,
|
||
ilink_bot_id=:ilink_bot_id, baseurl=:baseurl,
|
||
status='connected', connected_at=:connected_at, updated_at=:updated_at
|
||
WHERE id=:id"""),
|
||
{
|
||
"user_id": user.id, "username": user.username,
|
||
"bot_token": bot_token, "ilink_bot_id": ilink_bot_id,
|
||
"baseurl": baseurl, "connected_at": datetime.now(),
|
||
"updated_at": datetime.now(), "id": _row_to_dict(row)["id"],
|
||
})
|
||
row = _wechat_row_for_user(db, user.id)
|
||
aid = _row_to_dict(row)["id"] if row else 1
|
||
_start_wechat_receiver(aid)
|
||
finally:
|
||
db.close()
|
||
return {"success": True, "data": {"status": "confirmed", "connected": True}}
|
||
return {"success": True, "data": {"status": status, "connected": False}}
|
||
except Exception as e:
|
||
raise HTTPException(status_code=500, detail=str(e))
|
||
|
||
|
||
@router.post("/disconnect")
|
||
async def wechat_disconnect(user: User = Depends(get_current_user)):
|
||
"""断开当前用户的个人微信连接（清除 bot_token）"""
|
||
db = SessionLocal()
|
||
try:
|
||
row = _wechat_row_for_user(db, user.id)
|
||
if row:
|
||
_execute_raw(db, text(
|
||
"UPDATE im_bot_wechat_account SET bot_token=NULL, status='disconnected', "
|
||
"updated_at=:updated_at WHERE id=:id"
|
||
), {"updated_at": datetime.now(), "id": _row_to_dict(row)["id"]})
|
||
return {"success": True, "message": "已断开个人微信连接"}
|
||
except Exception as e:
|
||
raise HTTPException(status_code=500, detail=str(e))
|
||
finally:
|
||
db.close()
|
||
|
||
|
||
# ============================================================
|
||
# 启动恢复：为所有已连接用户账号拉起接收线程
|
||
# ============================================================
|
||
@router.get("/history")
|
||
async def wechat_history(
|
||
user: User = Depends(get_current_user),
|
||
limit: int = Query(200),
|
||
):
|
||
"""查询当前用户通过个人微信与七虎AI 的对话历史"""
|
||
db = SessionLocal()
|
||
try:
|
||
rows = _execute_raw(
|
||
db,
|
||
text("SELECT id, role, content, platform, from_user, created_at "
|
||
"FROM im_bot_chat_log WHERE user_id=:uid ORDER BY id DESC LIMIT :lim"),
|
||
{"uid": user.id, "lim": min(int(limit), 500)},
|
||
)
|
||
items = [_row_to_dict(r) for r in rows]
|
||
items.reverse()
|
||
return {"success": True, "data": {"messages": items, "total": len(items)}}
|
||
except Exception as e:
|
||
raise HTTPException(status_code=500, detail=str(e))
|
||
finally:
|
||
db.close()
|
||
|
||
|
||
def start_all_wechat_receivers():
|
||
"""在应用启动时调用，恢复此前已连接用户的个人微信接收线程。"""
|
||
db = SessionLocal()
|
||
try:
|
||
rows = _execute_raw(
|
||
db,
|
||
text("SELECT id FROM im_bot_wechat_account WHERE status='connected' AND user_id IS NOT NULL"),
|
||
)
|
||
for r in rows:
|
||
_start_wechat_receiver(r._mapping["id"])
|
||
if rows:
|
||
import logging
|
||
logging.getLogger("aiflow").info(f"[IM个人微信] 已恢复 {len(rows)} 个用户微信接收线程")
|
||
except Exception as e:
|
||
import logging
|
||
logging.getLogger("aiflow").warning(f"[IM个人微信] 启动恢复失败(不影响服务): {e}")
|
||
finally:
|
||
db.close()
|