[英]how to integrate dialogflow result to linebot (Node.js)?
我正在創建使用 node.js 集成 Google Dialogflow 的聊天機器人(Line)。
我只能從用戶輸入的文本創建線路聊天機器人並回顯一些文本。
我可以從用戶輸入發送命令創建代碼到 Google Dialogflow,並使用 NLU 技術響應文本向用戶創建對話流。
但是我需要用戶輸入發送到對話框流的文本並響應文本(A),然后將文本(A)(在代碼添加一些模板按鈕的代碼之后)發送到 Line bot 創建向用戶顯示一些模板按鈕。
如何集成兩部分代碼實現用戶輸入文本和通過對話流結果,使用結果發送到線路機器人服務器?
用戶輸入 -> 對話框流 ->mycode(添加一些模板按鈕調用線) ->linbot ->bot 向用戶顯示模板按鈕
謝謝你。
//---------------------------------
我的對話流代碼:
var express = require('express');
var bodyParser = require('body-parser');
var app = express();
app.use(
bodyParser.urlencoded({
extended: true
})
)
app.use(
bodyParser.json()
)
app.post("/webhook", function(req,res){
console.log(JSON.stringify(req.body, null, 2))
var intent = req.body.queryResult.intent.displayName;
var entityCity = req.body.queryResult.parameters["geo-city"];
if(intent === 'myIntent')
{
// here I need call bot.on method, but I don't known how to do.
// return res.json({
fulfillmentText: `I known your mean.`
});
}
else
{
return res.json({
fulfillmentText: `i am not sure your mean`
});
}
})
app.listen(process.env.PORT || 5566, function(){
console.log('server start ...');
})
//---------------------------------
我的 Line 聊天機器人代碼:
var linebot = require('linebot');
var express = require('express');
var app = express();
const bot = linebot({
channelId: 'mychannelId',
channelSecret: 'mychannelSecret',
channelAccessToken: 'mychannelAccessToken'
});
bot.on('message',function(event) {
console.log('bot');
console.log(event);
var msg = event.message.text;
// here can add some template button code and reply to user.
});
const linebotParser = bot.parser();
app.post('/webhook', linebotParser);
var server = app.listen(process.env.PORT || 8080, function() {
var port = server.address().port;
});
//--------------------
我的 Line 聊天機器人代碼其他版本:
const line = require('@line/bot-sdk');
const express = require('express');
const lineConfig = {
channelAccessToken: process.env.HEROKU_LINE_CHANNEL_ACCESS_TOKEN,
channelSecret: process.env.HEROKU_LINE_CHANNEL_SECRET
};
const client = new line.Client(lineConfig);
const app = express();
app.post('/webhook', line.middleware(lineConfig), function(req, res) {
Promise
.all(req.body.events.map(handleEvent))
.then(function(result) {
res.json(result);
});
});
function handleEvent(event) {
switch (event.type) {
case 'join':
case 'follow':
return client.replyMessage(event.replyToken, {
type: 'text',
text: 'hello~'
});
case 'message':
switch (event.message.type) {
case 'text':
return client.replyMessage(event.replyToken, {
type: 'text',
text: (event.message.text+'~yu')
});
}
}
}
app.listen(process.env.PORT || 3000, function(){
console.log("Express server listening on port %d in %s mode", this.address().port, app.settings.env);
});
const line = require('@line/bot-sdk');
const express = require('express');
const dialogflow = require('dialogflow');
const uuid = require('uuid');
const lineConfig = {
channelAccessToken: process.env.HEROKU_LINE_CHANNEL_ACCESS_TOKEN,
channelSecret: process.env.HEROKU_LINE_CHANNEL_SECRET
};
const client = new line.Client(lineConfig);
const app = express();
app.post('/webhook', line.middleware(lineConfig), function(req, res) {
Promise
.all(req.body.events.map(handleEvent))
.then(function(result) {
res.json(result);
});
});
async function handleEvent(event) {
switch (event.type) {
case 'join':
case 'follow':
return client.replyMessage(event.replyToken, {
type: 'text',
text: 'hello~'
});
case 'message':
switch (event.message.type) {
case 'text':
const response = await queryDF(event.message.text)
// you will get response from DF here
return client.replyMessage(event.replyToken, {
type: 'text',
text: (event.message.text+'~yu')
});
}
}
}
async function queryDF(message, projectId = 'your-project-id') {
// A unique identifier for the given session
const sessionId = uuid.v4();
// Create a new session
const sessionClient = new dialogflow.SessionsClient();
const sessionPath = sessionClient.sessionPath(projectId, sessionId);
// The text query request.
const request = {
session: sessionPath,
queryInput: {
text: {
// The query to send to the dialogflow agent
text: message,
// The language used by the client (en-US)
languageCode: 'en-US',
},
},
};
// Send request and log result
const responses = await sessionClient.detectIntent(request);
return responses[0].queryResult;
}
app.listen(process.env.PORT || 3000, function(){
console.log("Express server listening on port %d in %s mode", this.address().port, app.settings.env);
});
您需要用戶dialogflow npm檢測 Intent 方法
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