1. 基础 API 教程概述
在使用 wechaty 相关 api 之前请大家先学习 wechaty 基础篇！！！
博主有话要说！！！
为什么要选择看博主的博文？因为 Wechaty 官方文档已经太久没有更新了，所以同学们学习 WeChaty 请使用博主的博客作为教程文档，博主都是自己研究测试整理出来的，所有的案例测试都是最新版。
基础篇：最新 2023 如何使用 wechaty 框架开发微信机器人详细教程（基础篇）
2. 图片二维码扫码登陆
配置微信机器人启动快捷脚本 npm run start
在 package.json 文件中，配置 "start": "node bot.js"
在 terminal 终端进行执行
PS C:\Users\Administrator\Desktop\HackerWaking\Wechaty-Project> npm run start
> wechaty-project@1.0.0 start
> node index.js
图片二维码扫码登陆
const { WechatyBuilder } = require('wechaty');
const qrcode = require('qrcode-terminal');
const bot = WechatyBuilder.build()
bot.on('scan', (code, status) => {
qrcode.generate(code, { small: true });
})
3. 判断微信群消息
判断 message.room() 对象进行判断是否是群消息
bot.on('message', async message => {
const room = message.room()
if (room) {
console.log(room)
const talker = message.talker();
talker.say("hello, i got your message")
}
});
查询 message.room() 群名 topic 回复群消息 hello
bot.on('message', async message => {
const room = message.room()
if (room && await room.topic() == "testgroup") {
room.say("hello")
}
});
4. 接收图片消息保存
机器人 bot 监听消息判断是否是图片消息？
const fs = require('fs');
bot.on('message', async message => {
if (message.type() == bot.Message.Type.Image) {
const fileBox = await message.toFileBox()
console.log(fileBox)
console.log("Message.Type.Image")
const ws = fs.createWriteStream(fileBox._name);
ws.write(fileBox.buffer);
}
});
图片类型消息 fileBox 数据结构
FileBox {
version: '1.5.5',
_type: 4,
_size: 115413,
md5: undefined,
mimeType: 'application/unknown',
_mediaType: 'image/jpeg',
_name: '6373249138066348739.jpg',
_metadata: undefined,
base64: undefined,
remoteUrl: undefined,
qrCode: undefined,
uuid: undefined,
buffer: <Buffer ff d8 ff e0 00 10 4a 46 49 46 00 01 01 00 00 01 00 01 00 00 ff db 00 43 00 0a 07 07 08 07 06 0a 08 08 08 0b 0a 0a 0b 0e 18 10 0e 0d 0d 0e 1d 15 16 11 ... 115363 more bytes>,
localPath: undefined,
stream: undefined,
headers: undefined
}
bot.Message.Type 消息类型
MessageType {
Unknown = 0,
Attachment = 1, ### Attach(6),
Audio = 2, ### Audio(1), Voice(34)
Contact = 3, ### ShareCard(42)
ChatHistory = 4, ### ChatHistory(19)
Emoticon = 5, ### Sticker: Emoticon(15), Emoticon(47)
Image = 6, ### Img(2), Image(3)
Text = 7, ### Text(1)
Location = 8, ### Location(48)
MiniProgram = 9, ### MiniProgram(33)
GroupNote = 10, ### GroupNote(53)
Transfer = 11, ### Transfers(2000)
RedEnvelope = 12, ### RedEnvelopes(2001)
Recalled = 13, ### Recalled(10002)
Url = 14, ### Url(5)
Video = 15, ### Video(4), Video(43)
Post = 16, ### Moment, Channel, Tweet, etc
}
5. 微信群发送图片
官方 Wechaty 发送案例展示
import { FileBox } from 'wechaty'
const fileBox = FileBox.fromFile('C:\Users\Administrator\Desktop\image.png')
await bot.say(fileBox)
亲测存在报错！uncaughtException TypeError: Cannot read properties of undefined (reading ‘fromFile’)
可能是 wechaty 版本问题 >>> 解决方案：单独安装 file-box 模块包调用
npm i file-box
具体解决方案实现
const { FileBox } = require('file-box')
const fileBox1 = FileBox.fromFile('C:\Users\Administrator\Desktop\image.png')
await bot.say(fileBox1)
const fileBox2 = FileBox.fromUrl('https://wechaty.js.org/img/icon.png')
await bot.say(fileBox2)
| 函数 | 说明 |
|---|---|
| FileBox.fromFile | 选择本地图片 |
| FileBox.fromUrl | 选择网络图片 |
例如：检测关键词回复图片
const { WechatyBuilder } = require('wechaty');
const { FileBox } = require('file-box')
const qrcode = require('qrcode-terminal');
const path = require('path')
const bot = WechatyBuilder.build()
bot.on('scan', (code, status) => { qrcode.generate(code, { small: true }); })
bot.on('login', user => console.log(`User ${user} logged in`))
bot.on('message', async message => {
const room = message.room()
if (room && message.payload.type != 7) {
return;
} else {
let msg = message.text()
if (msg == "chicken") {
await room.say("Chicken is too beautiful.")
}
if (msg == "ikun") {
const fileBox = FileBox.fromFile(path.join(process.cwd(), "image.png"))
await room.say(fileBox)
}
}
});
bot.start();
真机演示展示
6. 音频处理工具
下载地址：https://github.com/BtbN/FFmpeg-Builds/releases
ffmpeg 工具 bin 目录
配置 ffmpeg/bin 系统环境变量
7. 接收语音消息保存
机器人 bot 监听消息判断是否是语音消息？
const fs = require('fs');
bot.on('message', async message => {
if (message.type() == bot.Message.Type.Audio) {
const fileBox = await message.toFileBox()
console.log(fileBox)
console.log("Message.Type.Audio")
const ws = fs.createWriteStream(fileBox._name);
ws.write(fileBox.stream);
}
});
语音类型消息 fileBox 数据结构
FileBox {
version: '1.5.5',
_type: 6,
_size: undefined,
md5: undefined,
mimeType: 'application/unknown',
_mediaType: 'audio/silk',
_name: 'message-6741646316917598047-audio.sil',
_metadata: { voiceLength: 1231 },
base64: undefined,
remoteUrl: undefined,
qrCode: undefined,
uuid: undefined,
buffer: undefined,
localPath: undefined,
stream: <Buffer ff f3 38 c4 00 0c 30 02 11 bd 41 18 00 00 38 44 2c 29 1a c0 7c 1f a8 13 07 cf a7 52 81 00 cf 83 fc 06 7d ff 97 3f fc bb df ff 58 3e 08 1c cb ff ac fe ... 2539 more bytes>,
headers: undefined
}
接收保存类型：sil 文件
message-5316276040531231762-audio.sil
借助 ffmpeg 转换音频格式
const { exec } = require('child_process');
const silFilePath = 'message-5316276040531231762-audio.sil';
const mp3FilePath = 'message-5316276040531231762-audio.mp3';
const command = `ffmpeg -i ${silFilePath} ${mp3FilePath}`;
exec(command, (error, stdout, stderr) => {
if (error) {
console.error(`Error: ${error.message}`);
return;
}
console.log('Conversion successful!');
});
8. 查询联系人信息
事件 ready 是指微信机器人登陆完成启动预备状态
bot.on('ready', () => {
let contactName = ""
bot.Contact.find(contactName).then(contact => {
console.log(contact)
}).catch(err => {
console.log()
})
})
联系人信息结构体
WechatifiedContactSelfImpl {
_events: [Object: null prototype] {},
_eventsCount: 0,
_maxListeners: undefined,
id: '@80d60ed0fb7633cb0069de96f78718df80a0148618f1981b7fe3869f145a82d5',
payload: {
address: undefined,
alias: '',
avatar: '/cgi-bin/mmwebwx-bin/webwxgeticon?seq=1945142728&username=@80d60ed0fb7633cb0069de96f78718df80a0148618f1981b7fe3869f145a82d5&skey=@crypt_13d84e54_07d2f691525dadf043c467d1a3f4b23f',
city: undefined,
friend: false,
gender: 1,
id: '@80d60ed0fb7633cb0069de96f78718df80a0148618f1981b7fe3869f145a82d5',
name: '一语中的',
phone: [],
province: undefined,
signature: '唤醒手腕',
star: false,
weixin: undefined,
type: 1
},
[Symbol(kCapture)]: false
}
查询联系人并且发送消息
bot.on('ready', () => {
let contactName = ""
bot.Contact.find(contactName).then(contact => {
contact.say("hello")
}).catch(err => {
console.log()
})
})
9. ChatGPT3.5 应用
特别注意：调用 chatGPT 3.5 需要注册获取 OPENAI_API_KEY
环境变量配置文件 .env 存储 OPENAI_API_KEY
OPENAI_API_KEY=【你的OPENAI_API_KEY】
配置 Openai 接口调用工具 openai.js
const dotenv = require('dotenv')
const OpenAI = require('openai')
dotenv.config()
const openai = new OpenAI({
apiKey: process.env.OPENAI_API_KEY
});
const getOpenAIResponse = async (input) => {
const chatCompletion = await openai.chat.completions.create({
messages: [{ role: 'user', content: input }],
model: 'gpt-3.5-turbo',
});
return chatCompletion.choices[0].message.content
}
module.exports = {
getOpenAIResponse
}
配置需要开通服务的群列表 config.json
{ "group": [ "testgroup", "helloworld" ] }
微信机器人启动 bot.js
const { WechatyBuilder } = require('wechaty');
const qrcode = require('qrcode-terminal');
const { getOpenAIResponse } = require('./openai.js')
const fs = require('fs');
const data = fs.readFileSync('config.json', 'utf8');
const config = JSON.parse(data);
const bot = WechatyBuilder.build()
bot.on('scan', (code, status) => {
qrcode.generate(code, { small: true });
})
bot.on('login', user => console.log(`User ${user} logged in`))
bot.on('message', async message => {
const room = message.room()
if (room && config.group.includes(await room.topic())) {
if (message.payload.type != 7) {
room.say("Sorry, please input text.");
return;
} else {
room.say(await getOpenAIResponse(message.text()))
}
}
});
bot.start();
package.json 依赖模块版本
"dependencies": {
"openai": "^4.16.1",
"qrcode-terminal": "^0.12.0",
"wechaty": "^1.20.2"
}
案例视频展示
10. 开通 Pad-local 协议
默认免费 WEB 协议是不支持发送语音权限（只具有接收语音消息的权限）IPAD 协议支持
推荐开通 pad-local 协议（链接地址）：http://pad-local.com/
TOKEN 购买完成
11. 创建 puppet 登陆
PuppetPadlocal 创建机器人
const { PuppetPadlocal } = require("wechaty-puppet-padlocal");
const { WechatyBuilder } = require('wechaty');
const puppet = new PuppetPadlocal({
token: "puppet_padlocal_xxxxxxxxxxxx"
});
const bot = WechatyBuilder.build({
name: "wristwaking",
puppet
})
详细官方案例教程文档介绍：https://github.com/wechaty/puppet-padlocal/wiki/API-%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3-(TypeScript-JavaScript)
手机端使用微信扫描登陆显示（登陆设备 iPad）
Node 控制台登陆扫描输出
Welcome to Wechaty PadLocal puppet!
puppet-padlocal version: 1.20.1
adlocal-ts-client version: 0.5.3
13:26:41 INFO [PuppetPadlocal] start login with type: AutoLogin
User Contact<一语中的> logged in
注意：通过 PadLocal 协议登陆具有自动登陆功能（扫码完二次登陆无需进行扫码）
INFO TestBot started 问题
如果运行 npm run bot.js 后，正常情况会提示扫码登录。如果一直卡在 INFO TestBot started，二维码没有出现。解决方案：检测本地网络是否能够正常上网？检测是否开启了全局的 VPN？检测是否设置了网络防火墙？
网络测试：测试和 PadLocal 服务器之间网络是否通畅？
ping gateway.pad-local.com
网络测试：测试和微信服务器之间网络是否通畅？
$ ping long.weixin.qq.com
$ ping short.weixin.qq.com
12. ffmpeg 音频工具
下载地址：https://github.com/BtbN/FFmpeg-Builds/releases
ffmpeg 工具 bin 目录
配置 ffmpeg/bin 系统环境变量
13. 被动回复语音消息
借助 vhan 开源接口创建 MP3 语音音频
const fs = require('fs')
const axios = require('axios')
const path = require('path')
let content = "唤醒手腕我喜欢你"
axios({
method: 'get',
url: `https://api.vvhan.com/api/song?txt=${content}`,
responseType: 'stream',
})
.then(async res => {
await res.data.pipe(fs.createWriteStream(path.join(__dirname, 'content.mp3')))
})
.catch(err => {
console.log(err);
});
借助 ffmpeg 工具 和 silk_v3_encoder 工具 进行音频转换处理 sil 语音
GitHub silk-v3-decoder 工具资源地址：https://github.com/kn007/silk-v3-decoder
const { execSync } = require('child_process');
const mp3FilePath = 'content.mp3';
const silFilePath = 'output.sil';
execSync(`ffmpeg -i "${mp3FilePath}" -f s16le -ar 24000 -ac 1 -acodec pcm_s16le "temp.pcm"`);
execSync(`silk_v3_encoder "temp.pcm" "${silFilePath}" -tencent`)
语音文件为 silk 格式。silk 是 skype 开源的一款语音编解码器，被微信的语音文件所采用。注意：文件后缀必须是 sil！
bot.on('message', async message => {
if (message.type() == bot.Message.Type.Audio) {
const voiceFilePath = "output.sil"
const voiceLength = 2000;
const fileBox = FileBox.fromFile(voiceFilePath);
fileBox.metadata = {
voiceLength
};
await message.say(fileBox)
}
});
特别注意：被动回复语音消息 WEB 协议不支持（推荐采用 iPad 协议实现）
运行演示视频
14. 发送动态链接
bot.on('message', async message => {
if (message.text() == "发送链接") {
const urlLink = new bot.UrlLink({
title: "Hello World! 你好世界！",
description: "This is description",
thumbnailUrl: "http://q1.qlogo.cn/g?b=qq&nk=1620444902&s=100",
url: "https://www.baidu.com",
});
await message.say(urlLink)
}
});
动态链接配置说明
| parmas | 说明 | 案例 |
|---|---|---|
| title | 标题 | Hello World! 你好世界！ |
| description | 详细描述 | This is description |
| thumbnailUrl | 预览图 | http://q1.qlogo.cn/g?b=qq&nk=1620444902&s=100 （图片链接地址） |
| url | 链接地址 | https://www.baidu.com（链接） |
发送动态链接测试结果：
15. 自动通过加好友请求
bot.on("friendship", async friendship => {
console.log(friendship)
if (friendship.type() === FriendshipType.Receive) {
await friendship.accept();
}
});
WechatifiedFriendshipImpl 数据结构
WechatifiedFriendshipImpl {
_events: [Object: null prototype] {},
_eventsCount: 0,
_maxListeners: undefined,
id: '6163475632946471959',
payload: {
contactId: 'wxid_njqktrcgap7822',
hello: '我是子夜吴歌',
id: '6163475632946471959',
scene: 15,
shareCardContactId: '',
shareCardNickName: '',
sourceContactId: '',
sourceNickName: '',
stranger: 'v3_020b3826fd0301000000000095b7279086b4b4000000501ea9a3dba12f95f6b60a0536a1adb6bca1de246eb2c79828d52b3f6f6fdbb0dcdf144ece9d5ef453bc87350909b183e109f57083da037301a1a492156c38faaa1792d953a18405e5034f1876@stranger',
ticket: 'v4_000b708f0b0400000100000000003ce338ab64bfba5b2eab48d683651000000050ded0b020927e3c97896a09d47e6e9e44ac1aeaa3585259ed6edc2f83825b3d166d50e27fb7b44161a4427e52d47e03cb9920bf7ad004fed00c4754150d75b4969a5ffefc1e5e6ebe3612f3f52a147c7ffc2634859836c1586dcf74d0bdeac97c5b6b9224a6cee2acf97a3705a88ababfb21dfb2f0bddbc75@stranger',
timestamp: 1703138888,
type: 2
},
[Symbol(kCapture)]: false
}
监听自动通过好友结果：文章来源：https://www.toymoban.com/news/detail-744065.html
控制台输出结果文章来源地址https://www.toymoban.com/news/detail-744065.html
自动通过验证
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