LInBot | A Python bot to increase your popularity on LinkedIn | Portal library

 by   hiimim Python Version: Current License: No License

kandi X-RAY | LInBot Summary

kandi X-RAY | LInBot Summary

LInBot is a Python library typically used in Web Site, Portal applications. LInBot has no bugs, it has no vulnerabilities and it has low support. However LInBot build file is not available. You can download it from GitHub.

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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            kandi-support Support

              LInBot has a low active ecosystem.
              It has 55 star(s) with 23 fork(s). There are 13 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 11 open issues and 1 have been closed. On average issues are closed in 7 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of LInBot is current.

            kandi-Quality Quality

              LInBot has 0 bugs and 0 code smells.

            kandi-Security Security

              LInBot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              LInBot code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              LInBot does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              LInBot releases are not available. You will need to build from source code and install.
              LInBot has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed LInBot and discovered the below as its top functions. This is intended to give you an instant insight into LInBot implemented functionality, and help decide if they suit your requirements.
            • Inner loop .
            • Start the browser .
            • Launch a browser .
            • Gets new profiles ID from the list of visited users .
            Get all kandi verified functions for this library.

            LInBot Key Features

            No Key Features are available at this moment for LInBot.

            LInBot Examples and Code Snippets

            No Code Snippets are available at this moment for LInBot.

            Community Discussions

            QUESTION

            how to integrate dialogflow result to linebot (Node.js)?
            Asked 2019-Sep-27 at 05:45

            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 05:45
            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);
            });
            

            Source https://stackoverflow.com/questions/58091197

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install LInBot

            You can download it from GitHub.
            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.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/hiimim/LInBot.git

          • CLI

            gh repo clone hiimim/LInBot

          • sshUrl

            git@github.com:hiimim/LInBot.git

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