README
WECHATY-CHATOPERA
INTRODUCTION
Bring your bots into Wechat with Wechaty Chatopera Plugin.
REQUIREMENTS
- Node.js v16+
- NPM v7+
- Wechaty v0.68+
- 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
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)
- Add Basic Plugin for Chatopera
- 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