WECHATY-CHATOPERA

INTRODUCTION

Bring your bots into Wechat with Wechaty Chatopera Plugin.

REQUIREMENTS

1. Node.js v16+
2. NPM v7+
3. Wechaty v0.68+
4. Chatopera Plugin

USAGE

To use the plugin:

import { WechatyChatopera } from 'wechaty-chatopera'

const config = {
  /**
   * Chatopera Service ID
   */
  clientId: 'YOUR_CLIENTID',
  secret: 'YOUR_SECRET',
  personalAccessToken: 'YOUR_PERSONAL_ACCESS_TOKEN',
  faqBestReplyThreshold: 0.8,
  faqSuggReplyThreshold: 0.2
  repoConfig: {}
}

const ChatoperaPlugin = WechatyChatopera(config)

const wechaty = new Wechaty()
wechaty.use(ChatoperaPlugin)

In config, either {personalAccessToken, repoConfig} or {clientId, secret} must be present.

Chatopera BOT of clientId would response as the global bot for all groups and private chats.

When personalAccessToken and repoConfig are added, the rooms defined by repoConfig would response with the bot that mapping with names. Check out apache.ts and asker.ts to learn the repoConfig schema. Rooms are not belong to any repo, it would route to clientId BOT.

If both personalAccessToken and clientId are not present, Wechaty Chatopera Plugin would throw an error.

1 Configure Chatopera

Chatopera 云服务是开发者友好的低代码上线智能对话机器人的云服务。

展开查看 Chatopera 云服务的产品截图

自定义词典

自定义词条

创建意图

添加说法和槽位

训练模型

测试对话

机器人画像

系统集成

聊天历史

立即使用

2 Language of Questions & Score of Answers

3 Matchers & Skipper

ENVIRONMENT VARIABLES

CONTR

npm run dist
npm publish

HISTORY

develop v1.0 (Nov 3, 2021)

Release v1.0 of Wechaty Chatopera Plugin.

v0.1 (Nov 24, 2020)

1. Add Basic Plugin for Chatopera
2. Enabel Wechaty with Chatopera

AUTHOR

• 吴京京, Author of Python-wechaty & NLP Researcher, <wjmcater@gmail.com>
• Chatopera Developers, 低代码上线智能对话机器人 <info@chatopera.com>

COPYRIGHT & LICENSE

• Code & Docs © 2020 wj-Mcat <wjmcater@gmail.com>
• Code released under the Apache-2.0 License
• Docs released under Creative Commons
• Copyright (2021) 北京华夏春松科技有限公司

Apache License Version 2.0