收口855 provider运行时并同步适配路线图
This commit is contained in:
@@ -5,8 +5,10 @@ from wechat_ipad.providers.legacy_855.friends import FriendMixin
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from wechat_ipad.providers.legacy_855.group import ChatroomMixin
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from wechat_ipad.providers.legacy_855.login import LoginMixin
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from wechat_ipad.providers.legacy_855.message import MessageMixin
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from wechat_ipad.providers.legacy_855.runtime import Legacy855RuntimeMixin
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from wechat_ipad.providers.legacy_855.tools import ToolMixin
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from wechat_ipad.providers.legacy_855.user import UserMixin
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from wechat_ipad.providers.legacy_855.base import WechatAPIClientBase
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class Legacy855WechatClient(
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@@ -17,6 +19,7 @@ class Legacy855WechatClient(
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ChatroomMixin,
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UserMixin,
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ToolMixin,
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Legacy855RuntimeMixin,
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WechatProviderBase,
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):
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"""855/859 风格 server 的独立 Provider。
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@@ -30,6 +33,19 @@ class Legacy855WechatClient(
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provider_name = "legacy_855"
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server_type = "legacy_855"
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def __init__(self, ip: str, port: int, **kwargs):
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"""初始化 855 provider。
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说明:
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1. 旧 `wechat_ipad/client` 的多继承结构没有显式构造入口,迁移后这里补一个稳定初始化点;
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2. 基础连接信息仍写入 `WechatAPIClientBase`,消息发送队列继续沿用 `MessageMixin` 的实现;
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3. 运行时状态由 `Legacy855RuntimeMixin` 单独初始化,便于后续 864 provider 走自己的模型。
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"""
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del kwargs
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WechatAPIClientBase.__init__(self, ip, port)
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MessageMixin.__init__(self)
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self._init_runtime_state()
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async def send_at_message(self, wxid: str, content: str, at: list[str]) -> tuple[int, int, int]:
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"""发送 @ 消息,兼容现有插件调用方式。"""
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if not self.wxid:
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@@ -47,4 +63,3 @@ class Legacy855WechatClient(
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output = content
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return await self.send_text_message(wxid, output, at)
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386
wechat_ipad/providers/legacy_855/runtime.py
Normal file
386
wechat_ipad/providers/legacy_855/runtime.py
Normal file
@@ -0,0 +1,386 @@
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import asyncio
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import time
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from typing import Any, Awaitable, Callable
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import toml
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AsyncCallback = Callable[..., Awaitable[None]]
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class Legacy855RuntimeMixin:
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"""855/859 风格 server 的运行时编排实现。
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设计说明:
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1. 855 的差异不只是接口路径,而是“客户端自己负责保活和拉消息”的运行模型;
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2. 这里把登录、心跳、历史消息消化、实时轮询、掉线恢复集中收口到 provider 内部;
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3. `Robot` 只再关心“登录成功后做什么”“收到消息后怎么处理”,避免后续接 864 时继续改主链路。
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"""
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def _init_runtime_state(self) -> None:
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"""初始化运行时状态字段。
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这里不用 `__init__` 参与多继承链,而是由 provider 显式调用:
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1. 现有 mixin 组合里已经有消息队列初始化逻辑;
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2. 显式初始化更容易看清哪些状态只属于 855 runtime;
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3. 也能避免后续再因为 MRO 调用顺序引入隐蔽问题。
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"""
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self._runtime_running = False
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self._runtime_recovery_lock = asyncio.Lock()
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def stop_runtime(self) -> None:
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"""请求停止当前 provider 的运行时主循环。"""
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self._runtime_running = False
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def is_runtime_running(self) -> bool:
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"""返回当前 provider 运行时是否处于运行态。"""
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return bool(getattr(self, "_runtime_running", False))
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async def run_runtime(
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self,
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*,
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ipad_config: dict,
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config_path: str,
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logger,
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on_login_ready: AsyncCallback,
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on_history_message: AsyncCallback,
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on_message: AsyncCallback,
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on_idle_payload: AsyncCallback | None = None,
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on_logout: AsyncCallback | None = None,
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on_runtime_state_change: AsyncCallback | None = None,
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) -> None:
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"""启动 855 provider 的完整运行时。
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参数说明:
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1. `ipad_config` 与 `config_path` 由上层传入,provider 只负责更新和落盘登录态;
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2. `on_*` 回调保持尽量少,只暴露业务层真正需要接手的几个时机;
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3. 这样既避免 `Robot` 再写协议细节,也不额外引入复杂的事件总线或状态机层。
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"""
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wxid = str(ipad_config.get("wxid", "") or "").strip()
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device_name = str(ipad_config.get("device_name", "") or "").strip()
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device_id = str(ipad_config.get("device_id", "") or "").strip()
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if not device_name:
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device_name = self.create_device_name()
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if not device_id:
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device_id = self.create_device_id()
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await self._ensure_login(
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wxid=wxid,
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device_name=device_name,
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device_id=device_id,
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ipad_config=ipad_config,
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config_path=config_path,
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logger=logger,
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)
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# 登录后的项目初始化若失败,应直接中断启动:
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# 1. 这里会初始化联系人缓存、插件注入、消息存储等关键依赖;
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# 2. 如果仅记录异常继续运行,后续消息循环只会在半初始化状态下引发更多连锁问题;
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# 3. 因此这里刻意不吞异常,让启动期问题尽早暴露。
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await on_login_ready(self.get_login_identity(device_name=device_name, device_id=device_id))
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logger.info(f"wechat_ipad登录设备信息: device_name: {device_name} device_id: {device_id}")
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logger.info("wechat_ipad登录成功")
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logger.info("处理堆积消息中")
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await self._drain_startup_history(on_history_message=on_history_message, logger=logger)
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logger.info("处理堆积消息完毕")
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await self._set_runtime_running(True, on_runtime_state_change=on_runtime_state_change, logger=logger)
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heartbeat_task = asyncio.create_task(
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self._heartbeat_loop(
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heartbeat_func=self.heartbeat,
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interval_seconds=60,
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logger=logger,
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loop_name="wechat_ipad心跳",
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on_logout=on_logout,
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on_runtime_state_change=on_runtime_state_change,
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)
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)
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heartbeat_long_task = asyncio.create_task(
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self._heartbeat_loop(
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heartbeat_func=self.heartbeat_long,
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interval_seconds=120,
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logger=logger,
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loop_name="wechat_ipad长连接心跳",
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on_logout=on_logout,
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on_runtime_state_change=on_runtime_state_change,
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)
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)
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try:
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logger.info("开始处理wechat_ipad消息")
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while self.is_runtime_running():
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try:
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data_temp = await self.sync_message()
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except Exception as e:
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logger.error(f"获取新消息失败 {e}")
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recovered = await self._try_recover_from_logout(
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reason=e,
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logger=logger,
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on_logout=on_logout,
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on_runtime_state_change=on_runtime_state_change,
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)
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if not recovered:
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if not self.is_runtime_running():
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break
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await asyncio.sleep(5)
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continue
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data = data_temp.get("AddMsgs")
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if data:
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for message in data:
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await self._safe_callback(
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on_message,
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message,
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logger=logger,
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callback_name="on_message",
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)
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else:
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# 对于 855 而言,`Ret=0 + KeyBuf` 只是正常空轮询返回,不需要额外刷屏日志。
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if on_idle_payload:
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await self._safe_callback(
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on_idle_payload,
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data_temp,
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logger=logger,
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callback_name="on_idle_payload",
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)
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await asyncio.sleep(2)
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finally:
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heartbeat_task.cancel()
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heartbeat_long_task.cancel()
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await asyncio.gather(heartbeat_task, heartbeat_long_task, return_exceptions=True)
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await self._set_runtime_running(False, on_runtime_state_change=on_runtime_state_change, logger=logger)
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async def _ensure_login(
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self,
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*,
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wxid: str,
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device_name: str,
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device_id: str,
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ipad_config: dict,
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config_path: str,
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logger,
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) -> None:
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"""保证当前 provider 已完成登录,并把登录结果写回配置。
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这里沿用现有 855 的行为:
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1. 优先复用缓存唤醒;
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2. 唤醒失败或无缓存时回退到二维码登录;
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3. 登录成功后继续把 wxid / device 信息写回 `config.toml`,保持现有部署习惯不变。
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"""
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if await self.is_logged_in(wxid):
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self.wxid = wxid
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profile = await self.get_profile()
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self.nickname = profile.get("NickName", {}).get("string", "")
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self.alias = profile.get("Alias", "")
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self.phone = profile.get("BindMobile", {}).get("string", "")
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self.signature = profile.get("Signature", "")
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logger.info(
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f"wechat_ipad登录账号信息: wxid: {self.wxid} 昵称: {self.nickname} 微信号: {self.alias} 手机号: {self.phone}"
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)
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return
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while not await self.is_logged_in(wxid):
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uuid = ""
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url = ""
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try:
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if await self.get_cached_info(wxid):
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uuid = await self.awaken_login(wxid)
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logger.info(f"获取到登录uuid: {uuid}")
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else:
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uuid, url = await self.get_qr_code(device_id=device_id, device_name=device_name, print_qr=True)
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logger.info(f"获取到登录uuid: {uuid}")
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logger.info(f"获取到登录二维码: {url}")
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except Exception as e:
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logger.error(f"登录过程出错: {e}")
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uuid, url = await self.get_qr_code(device_id=device_id, device_name=device_name, print_qr=True)
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logger.info(f"获取到登录uuid: {uuid}")
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logger.info(f"获取到登录二维码: {url}")
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while True:
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logger.info(f"uuid: {uuid}, url: {url}")
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stat, data = await self.check_login_uuid(uuid, device_id=device_id)
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if stat:
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break
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logger.info(f"等待登录中,过期倒计时:{data}")
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await asyncio.sleep(5)
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self._apply_login_result(data=data, logger=logger)
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ipad_config["wxid"] = self.wxid
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ipad_config["device_name"] = device_name
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ipad_config["device_id"] = device_id
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ipad_config["login_time"] = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
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with open(config_path, "w", encoding="utf-8") as f:
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toml.dump(ipad_config, f)
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break
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def _apply_login_result(self, *, data: dict, logger) -> None:
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"""把登录接口返回的用户信息统一写回当前 provider。"""
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acct_section = data.get("acctSectResp", {}) or {}
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self.wxid = acct_section.get("userName", "")
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self.nickname = acct_section.get("nickName", "")
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self.alias = acct_section.get("alias", "")
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self.phone = acct_section.get("bindMobile", "")
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self.signature = data.get("Signature", "")
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logger.info(
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f"wechat_ipad登录账号信息: wxid: {self.wxid} 昵称: {self.nickname} 微信号: {self.alias} 手机号: {self.phone}"
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)
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async def _drain_startup_history(self, *, on_history_message: AsyncCallback, logger) -> None:
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"""在实时主循环前先消化堆积消息。
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这里保持旧逻辑的退出条件:
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1. 连续多次轮询不到 `AddMsgs` 才认为历史堆积已经处理完;
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2. 每批历史消息仍交给上层回调决定如何归档;
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3. provider 只负责拉取与调度,不把历史消息也混入实时业务处理。
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"""
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empty_rounds = 0
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while True:
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data = await self.sync_message()
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add_msgs = data.get("AddMsgs")
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if not add_msgs:
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if empty_rounds > 2:
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break
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empty_rounds += 1
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continue
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logger.debug(f"接受到 {len(add_msgs)} 条历史消息,开始仅落库归档")
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for raw_message in add_msgs:
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await self._safe_callback(
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on_history_message,
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raw_message,
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logger=logger,
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callback_name="on_history_message",
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)
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await asyncio.sleep(1)
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async def _heartbeat_loop(
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self,
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*,
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heartbeat_func: Callable[[], Awaitable[bool]],
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interval_seconds: int,
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logger,
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loop_name: str,
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on_logout: AsyncCallback | None,
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on_runtime_state_change: AsyncCallback | None,
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) -> None:
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"""统一承接心跳与长心跳循环,减少 855 provider 内部重复代码。"""
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logger.info(f"开启{loop_name}!")
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while self.is_runtime_running():
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try:
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success = await heartbeat_func()
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if success:
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logger.debug(f"{loop_name}进行中")
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else:
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logger.warning(f"{loop_name}失败")
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except Exception as e:
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logger.error(f"{loop_name}: {e}")
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recovered = await self._try_recover_from_logout(
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reason=e,
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logger=logger,
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on_logout=on_logout,
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on_runtime_state_change=on_runtime_state_change,
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)
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if not recovered and not self.is_runtime_running():
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break
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await asyncio.sleep(interval_seconds)
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async def _try_recover_from_logout(
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self,
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*,
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reason: Exception | str,
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logger,
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on_logout: AsyncCallback | None,
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on_runtime_state_change: AsyncCallback | None,
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) -> bool:
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"""处理 855 provider 的掉线恢复逻辑。
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关键点:
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1. 855 的掉线恢复是 provider 运行模型的一部分,因此也应该收口在 provider 内部;
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2. 这里用锁把恢复流程串行化,避免心跳线程与消息轮询线程同时触发二次登录;
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3. 上层只接收一个“检测到掉线”的通知,用于发告警或记录运维日志。
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"""
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if not self._is_logout_reason(reason):
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return False
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async with self._runtime_recovery_lock:
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# 进入锁后再判断一次,避免并发恢复时第二个协程重复执行二次登录。
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if not self.is_runtime_running():
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return False
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await self._safe_callback(
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on_logout,
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str(reason),
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logger=logger,
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callback_name="on_logout",
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)
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try:
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logger.info("定时进行二次登录动作")
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resp = await self.twice_auto_auth()
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if resp:
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logger.info("定时二次登录成功!")
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return True
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logger.error("定时二次登录失败!")
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except Exception as e:
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logger.error(f"login_twice_auto_auth error: {e}")
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await self._set_runtime_running(False, on_runtime_state_change=on_runtime_state_change, logger=logger)
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return False
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async def _set_runtime_running(
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self,
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running: bool,
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*,
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on_runtime_state_change: AsyncCallback | None,
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logger,
|
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) -> None:
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"""同步 provider 运行态,并通知上层镜像状态。"""
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self._runtime_running = running
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if on_runtime_state_change:
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await self._safe_callback(
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on_runtime_state_change,
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running,
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||||
logger=logger,
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||||
callback_name="on_runtime_state_change",
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)
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async def _safe_callback(
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self,
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callback: AsyncCallback | None,
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*args: Any,
|
||||
logger,
|
||||
callback_name: str,
|
||||
) -> None:
|
||||
"""统一保护上层回调,避免单个业务异常直接打断 provider 主循环。"""
|
||||
if callback is None:
|
||||
return
|
||||
try:
|
||||
await callback(*args)
|
||||
except Exception as e:
|
||||
logger.exception(f"执行回调失败: {callback_name}, error: {e}")
|
||||
|
||||
@staticmethod
|
||||
def _is_logout_reason(reason: Exception | str) -> bool:
|
||||
"""判断当前异常是否属于 855 provider 约定的掉线场景。"""
|
||||
return "用户可能退出" in str(reason)
|
||||
|
||||
def get_login_identity(self, *, device_name: str = "", device_id: str = "") -> dict[str, Any]:
|
||||
"""返回当前登录身份的轻量归一化结构。
|
||||
|
||||
第一阶段先继续使用 dict:
|
||||
1. 便于 `Robot` 直接消费,不额外引入 dataclass;
|
||||
2. 后续如果 864 也需要对齐结构,可以在 provider 内继续增量补字段;
|
||||
3. 这里同时把 device 信息带上,方便上层统一打印和展示。
|
||||
"""
|
||||
return {
|
||||
"wxid": self.wxid,
|
||||
"nickname": self.nickname,
|
||||
"alias": self.alias,
|
||||
"phone": self.phone,
|
||||
"signature": getattr(self, "signature", ""),
|
||||
"device_name": device_name,
|
||||
"device_id": device_id,
|
||||
}
|
||||
Reference in New Issue
Block a user