359 lines
13 KiB
Markdown
359 lines
13 KiB
Markdown
# 05 — 实现指南与代码骨架
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> 给出两个可直接改造的最小实现骨架：Node.js（零依赖，官方 demo 的整理版）和 Python（requests 版）。
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> 均已按本文档的可靠性建议补强（游标持久化、退避、-14 处理）。媒体收发先略，接入文本跑通后再按 03 文档加。
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## 1. 最小流程回顾
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```
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1. 扫码拿 bot_token（一次性） ← auth
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2. loop: ← poller
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resp = POST getupdates(cursor)
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保存新 cursor
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for msg in resp.msgs:
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text = msg.item_list[*].text_item.text
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reply = 你的AI后端(text) ← backend
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POST sendmessage(reply, msg.context_token)
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```
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## 2. Node.js 骨架（bridge.mjs）
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零第三方依赖（Node 18+ 自带 fetch）。二维码展示可加装 `qrcode-terminal`。
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```js
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// bridge.mjs — 微信 ClawBot iLink Bridge 最小骨架
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import { readFileSync, writeFileSync, existsSync } from "node:fs";
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import { randomBytes } from "node:crypto";
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const BASE_URL = "https://ilinkai.weixin.qq.com";
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const STATE_FILE = "./bridge-state.json";
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// ---------- 状态持久化 ----------
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const state = existsSync(STATE_FILE)
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? JSON.parse(readFileSync(STATE_FILE, "utf8"))
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: { bot_token: null, cursor: "", contexts: {} };
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const saveState = () =>
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writeFileSync(STATE_FILE, JSON.stringify(state, null, 2), { mode: 0o600 });
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// ---------- iLink HTTP 封装 ----------
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function headers() {
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const uin = Buffer.from(String(randomBytes(4).readUInt32BE(0))).toString("base64");
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return {
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"Content-Type": "application/json",
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AuthorizationType: "ilink_bot_token",
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"X-WECHAT-UIN": uin,
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...(state.bot_token ? { Authorization: `Bearer ${state.bot_token}` } : {}),
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};
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}
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async function apiPost(path, body, timeoutMs = 45_000) {
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const res = await fetch(`${BASE_URL}${path}`, {
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method: "POST",
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headers: headers(),
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body: JSON.stringify(body),
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signal: AbortSignal.timeout(timeoutMs),
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});
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return res.json();
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}
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// ---------- 1. 扫码登录（一次性） ----------
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async function login() {
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const qr = await fetch(`${BASE_URL}/ilink/bot/get_bot_qrcode?bot_type=3`)
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.then((r) => r.json());
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console.log("请用微信扫码:", qr.qrcode_img_content);
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// 终端显示二维码: npm i qrcode-terminal，然后 qrcode.generate(qr.qrcode_img_content, {small:true})
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const deadline = Date.now() + 8 * 60_000;
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while (Date.now() < deadline) {
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const s = await fetch(
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`${BASE_URL}/ilink/bot/get_qrcode_status?qrcode=${encodeURIComponent(qr.qrcode)}`,
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{ headers: { "iLink-App-ClientVersion": "1" } }
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).then((r) => r.json());
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if (s.status === "confirmed") {
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state.bot_token = s.bot_token;
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state.bot_id = s.ilink_bot_id;
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state.owner_id = s.ilink_user_id;
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saveState();
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console.log("登录成功, bot:", s.ilink_bot_id);
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return;
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}
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process.stdout.write(`\r等待扫码... status=${s.status} `);
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await new Promise((r) => setTimeout(r, 1000));
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}
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throw new Error("扫码超时，请重试");
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}
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// ---------- 2. AI 后端调用（换成你的项目） ----------
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async function askYourAI(peerId, text) {
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// 例：调本地 HTTP 后端
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// const r = await fetch("http://127.0.0.1:8000/chat", {
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// method: "POST",
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// headers: { "Content-Type": "application/json" },
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// body: JSON.stringify({ session_id: peerId, text }),
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// }).then(r => r.json());
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// return r.reply;
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return `你说的是：${text}`; // 回声占位
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}
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// ---------- 3. 发送回复 ----------
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async function sendText(toUserId, text, contextToken) {
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// 长文本简单分片
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for (let i = 0; i < text.length; i += 1500) {
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await apiPost("/ilink/bot/sendmessage", {
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msg: {
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to_user_id: toUserId,
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client_id: crypto.randomUUID(),
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message_type: 2, // bot 消息
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message_state: 2, // FINISH
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context_token: contextToken,
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item_list: [{ type: 1, text_item: { text: text.slice(i, i + 1500) } }],
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},
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});
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}
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}
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// ---------- 4. 长轮询主循环 ----------
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async function pollLoop() {
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let failures = 0;
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for (;;) {
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try {
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const resp = await apiPost("/ilink/bot/getupdates", {
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get_updates_buf: state.cursor,
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base_info: { channel_version: "1.0.2" },
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});
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if (resp.errcode === -14) {
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console.error("会话过期(errcode=-14)，请删除 state 文件重新扫码");
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process.exit(2);
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}
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if (resp.ret !== 0 && resp.errcode !== undefined) {
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throw new Error(`getupdates 错误: ${JSON.stringify(resp)}`);
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}
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if (resp.get_updates_buf) {
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state.cursor = resp.get_updates_buf;
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saveState(); // 游标立即落盘
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}
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for (const msg of resp.msgs ?? []) {
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if (msg.message_type !== 1) continue; // 只处理用户消息
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const text = (msg.item_list ?? [])
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.filter((it) => it.type === 1)
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.map((it) => it.text_item?.text ?? "")
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.join("\n")
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.trim();
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if (!text) continue; // 媒体消息此处略，按 03 文档扩展
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state.contexts[msg.from_user_id] = msg.context_token;
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saveState();
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try {
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const reply = await askYourAI(msg.from_user_id, text);
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await sendText(msg.from_user_id, reply, msg.context_token);
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} catch (e) {
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console.error("处理消息失败:", e);
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await sendText(msg.from_user_id, "处理时出错了，请重试", msg.context_token)
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.catch(() => {});
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}
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}
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failures = 0;
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} catch (e) {
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// AbortError(长轮询超时) 视为正常，直接下一轮
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if (e.name === "TimeoutError" || e.name === "AbortError") continue;
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failures++;
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const wait = failures <= 3 ? 2000 : 30_000;
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console.error(`轮询异常(${failures}次)，${wait / 1000}s 后重试:`, e.message);
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await new Promise((r) => setTimeout(r, wait));
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}
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}
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}
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// ---------- main ----------
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if (!state.bot_token) await login();
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await pollLoop();
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```
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运行：
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```bash
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node bridge.mjs # 首次会打印二维码链接，微信扫码确认
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```
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## 3. Python 骨架（bridge.py）
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依赖只有 `requests`。二维码展示可加装 `qrcode` + 终端渲染。
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```python
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# bridge.py — 微信 ClawBot iLink Bridge 最小骨架
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import json, os, time, uuid, base64, random, requests
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BASE_URL = "https://ilinkai.weixin.qq.com"
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STATE_FILE = "./bridge-state.json"
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# ---------- 状态持久化 ----------
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state = {"bot_token": None, "cursor": "", "contexts": {}}
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if os.path.exists(STATE_FILE):
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state.update(json.load(open(STATE_FILE)))
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def save_state():
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with open(STATE_FILE, "w") as f:
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json.dump(state, f, indent=2)
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os.chmod(STATE_FILE, 0o600)
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# ---------- iLink HTTP 封装 ----------
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def headers():
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h = {
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"Content-Type": "application/json",
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"AuthorizationType": "ilink_bot_token",
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"X-WECHAT-UIN": base64.b64encode(str(random.getrandbits(32)).encode()).decode(),
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}
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if state["bot_token"]:
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h["Authorization"] = f"Bearer {state['bot_token']}"
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return h
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def api_post(path, body, timeout=45):
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r = requests.post(BASE_URL + path, headers=headers(), json=body, timeout=timeout)
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return r.json()
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# ---------- 1. 扫码登录（一次性） ----------
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def login():
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qr = requests.get(f"{BASE_URL}/ilink/bot/get_bot_qrcode?bot_type=3").json()
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print("请用微信扫码:", qr["qrcode_img_content"])
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deadline = time.time() + 8 * 60
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while time.time() < deadline:
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s = requests.get(
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f"{BASE_URL}/ilink/bot/get_qrcode_status",
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params={"qrcode": qr["qrcode"]},
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headers={"iLink-App-ClientVersion": "1"},
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).json()
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if s.get("status") == "confirmed":
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state.update(bot_token=s["bot_token"], bot_id=s["ilink_bot_id"],
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owner_id=s["ilink_user_id"])
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save_state()
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print("登录成功, bot:", s["ilink_bot_id"])
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return
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time.sleep(1)
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raise RuntimeError("扫码超时")
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# ---------- 2. AI 后端调用（换成你的项目） ----------
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def ask_your_ai(peer_id: str, text: str) -> str:
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# r = requests.post("http://127.0.0.1:8000/chat",
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# json={"session_id": peer_id, "text": text}).json()
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# return r["reply"]
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return f"你说的是：{text}"
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# ---------- 3. 发送回复 ----------
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def send_text(to_user_id, text, context_token):
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for i in range(0, len(text), 1500):
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api_post("/ilink/bot/sendmessage", {
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"msg": {
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"to_user_id": to_user_id,
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"client_id": 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[i:i+1500]}}],
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}
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})
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# ---------- 4. 长轮询主循环 ----------
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def poll_loop():
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failures = 0
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while True:
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try:
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resp = api_post("/ilink/bot/getupdates", {
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"get_updates_buf": state["cursor"],
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"base_info": {"channel_version": "1.0.2"},
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})
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if resp.get("errcode") == -14:
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print("会话过期(errcode=-14)，请删除 state 文件重新扫码")
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raise SystemExit(2)
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if resp.get("ret", 0) != 0:
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raise RuntimeError(f"getupdates 错误: {resp}")
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if resp.get("get_updates_buf"):
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state["cursor"] = resp["get_updates_buf"]
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save_state()
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for msg in resp.get("msgs") or []:
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if msg.get("message_type") != 1:
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continue
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text = "\n".join(
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it.get("text_item", {}).get("text", "")
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for it in msg.get("item_list", []) if it.get("type") == 1
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).strip()
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if not text:
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continue
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state["contexts"][msg["from_user_id"]] = msg["context_token"]
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save_state()
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try:
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reply = ask_your_ai(msg["from_user_id"], text)
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send_text(msg["from_user_id"], reply, msg["context_token"])
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except Exception as e:
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print("处理消息失败:", e)
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try:
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send_text(msg["from_user_id"], "处理时出错了，请重试",
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msg["context_token"])
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except Exception:
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pass
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failures = 0
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except requests.exceptions.Timeout:
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continue # 长轮询正常超时
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except Exception as e:
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failures += 1
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wait = 2 if failures <= 3 else 30
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print(f"轮询异常({failures}次)，{wait}s 后重试:", e)
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time.sleep(wait)
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if __name__ == "__main__":
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if not state["bot_token"]:
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login()
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poll_loop()
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```
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## 4. 接入你自己 AI 项目的改造点
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只需替换 `askYourAI` / `ask_your_ai` 一个函数：
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| 你的后端形态 | 改法 |
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| HTTP API（FastAPI/Flask/Express…） | 函数里 POST 过去，`session_id` 传 `peer_id` |
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| OpenAI 兼容接口 | 函数里组 messages 调 chat/completions，历史自己存（JSON/SQLite，按 peer_id 分键） |
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| LangChain / LangGraph | 函数里调 chain.invoke，memory 用 peer_id 做会话键 |
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| 本地 Agent 框架（Claude Agent SDK 等） | 参考 [cc-weixin](https://github.com/hao-ji-xing/cc-weixin) 的 `askClaude()` 包装 |
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| 命令行工具 | `subprocess` 调一下取 stdout（注意超时与转义） |
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## 5. 常见坑（按踩坑频率排序）
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1. **游标没存/存晚了** → 重启后消息重复轰炸。收到响应立刻落盘。
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2. **回复忘带 `context_token`** → 消息发不出或关联不上对话。
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3. **HTTP 客户端超时 < 长轮询超时** → 每轮都假性超时。骨架里给了 45s。
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4. **Markdown 直接发** → 微信不渲染，先转纯文本。
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5. **只处理 `item_list[0]`** → 图文混排丢内容。
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6. **token 提交进 git** → 泄漏=bot 被接管。state 文件加 `.gitignore`。
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7. **消息处理抛异常没兜住** → 整个轮询循环挂掉。骨架里已包 try。
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8. **多开实例** → 同 token 多处轮询互相抢游标，状态错乱。单实例跑。
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## 6. 下一步扩展路线
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1. 文本收发跑通（本骨架）
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2. 接入你的 AI 后端 + 会话历史
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3. 入站图片/语音（CDN 下载 + AES 解密，见 03 文档）
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4. `sendtyping`（处理慢时提升体验）
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5. 出站图片/文件（getuploadurl + CDN 上传）
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6. 白名单、限流、多通道（按 04 文档模式 D 演进）
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## 7. 参考项目清单
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| 项目 | 值得借鉴的部分 |
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| [hao-ji-xing/openclaw-weixin](https://github.com/hao-ji-xing/openclaw-weixin) | `demo.mjs` 裸调最小实现、协议逆向文档 |
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| [hao-ji-xing/cc-weixin](https://github.com/hao-ji-xing/cc-weixin) | Agent SDK 的接入包装方式 |
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| [openclaw-java/openclaw-weixin-sdk](https://github.com/openclaw-java/openclaw-weixin-sdk) | 完整工程化：状态存储、退避策略、-14 暂停窗口、typing、媒体服务 |
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| [openakita/openakita](https://github.com/openakita/openakita) | Python 适配器、多通道网关抽象、媒体惰性下载策略 |
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| `@tencent-weixin/openclaw-weixin`（npm） | 官方协议实现，字段有疑问时的最终依据：`npm pack @tencent-weixin/openclaw-weixin` |
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