LInBot | A Python bot to increase your popularity on LinkedIn | Portal library
kandi X-RAY | LInBot Summary
kandi X-RAY | LInBot Summary
In May 2014 LinkedIn introduced a new feature, How You Rank, which will show the most-viewed profiles among one's company and greater network. This bot will allow you to rank #1 by visiting thousands of profiles, who will visit you in return (around 2.5% of them according to my tests).
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Top functions reviewed by kandi - BETA
- Inner loop .
- Start the browser .
- Launch a browser .
- Gets new profiles ID from the list of visited users .
LInBot Key Features
LInBot Examples and Code Snippets
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Trending Discussions on LInBot
QUESTION
I am creating the chatbot(Line) integrate the Google Dialogflow using node.js.
I can create the line chatbot from user input the text and echo some text, only.
And I can create the code from user input send command to Google Dialogflow, and dialogflow using the NLU tech response text to the user.
But I need user input the text send to the dialogflow and response the text(A) , then send the text(A)(after code add some template button's code) to Line bot create show some template button to user.
How can I integrate two part code achieve user input text and through dialogflow result , using the result send to the line bot server?
user input -> dialogflow ->mycode(add some template button call line) ->linbot ->bot show template button to user
Thank you.
//----------------------------------
My dialogflow code:
...ANSWER
Answered 2019-Sep-27 at 05:45const 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);
});
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install LInBot
You can use LInBot like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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