Code Monkey home page Code Monkey logo

searchx-bot's Introduction

What is this repo about?

This is a telegram bot writen in python for searching files in Drive.

How to deploy?

  • Clone this repo:
git clone https://github.com/SVR666/SearchX-bot search-bot/
cd search-bot

Install requirements

  • For Debian based distros
sudo apt install python3
sudo snap install docker 
  • For Arch and it's derivatives:
sudo pacman -S docker python

Setting up config file

cp config_sample.env config.env
  • Remove the first line saying:
_____REMOVE_THIS_LINE_____=True

Fill up rest of the fields. Meaning of each fields are discussed below:

  • BOT_TOKEN : The telegram bot token that you get from @BotFather
  • OWNER_ID : The Telegram user ID (not username) of the owner of the bot
  • TELEGRAPH_TOKEN : The token generated by running:
python3 telegraph_token.py

Upgrading.

If you are coming from last version where recursive searching was not possible, you must run driveid.py again and delete all previous content, and this time you just have to add Drives (Teamdrive or 'root' for Main Drive). See the section below for more.

Setting up drive_folder file

  • The bot is unable to search in sub-directories, but you can specify directories in which you wanna search.

  • The bot can now search in sub-directories, so you just need to specify the teamdrives you want to use. To use main drive, you can enter 'root' in the drive id.

  • Add drive name(anything that u likes), drive id & index url(optional) corresponding to each id.

  • If you are adding a folder id and you wish to use index url, then add index url corresponding to that folder. Don't enter folder id now, only Teamdrive Id.

  • Run driveid.py and follow the screen.

python3 driveid.py

Authorizing Chats

  • Add telegram id of chats that u wanna authorize into the authorized_chats.txt file.

Getting Google OAuth API credential file

  • Visit the Google Cloud Console
  • Go to the OAuth Consent tab, fill it, and save.
  • Go to the Credentials tab and click Create Credentials -> OAuth Client ID
  • Choose Desktop and Create.
  • Use the download button to download your credentials.
  • Move that file to the root of search-bot, and rename it to credentials.json
  • Visit Google API page
  • Search for Drive and enable it if it is disabled
  • Finally, run the script to generate token file (token.pickle) for Google Drive:
pip install google-api-python-client google-auth-httplib2 google-auth-oauthlib
python3 generate_drive_token.py

Deploying on Heroku

  • Install Heroku cli
  • Login into your heroku account with command:
heroku login
  • Create a new heroku app:
heroku create appname	
  • Select This App in your Heroku-cli:
heroku git:remote -a appname
  • Change Dyno Stack to a Docker Container:
heroku stack:set container
  • Add Private Credentials and Config Stuff:
git add -f credentials.json token.pickle config.env heroku.yml drive_folder
  • Commit new changes:
git commit -m "Added Creds."
  • Push Code to Heroku:
git push heroku master --force
  • Restart Worker by these commands:
heroku ps:scale worker=0
heroku ps:scale worker=1	 	

Heroku-Note: Doing authorizations ( /authorize command ) through telegram wont be permanent as heroku uses ephemeral filesystem. They will be reset on each dyno boot. As a workaround you can:

  • Make a file authorized_chats.txt and write the user names and chat_id of you want to authorize, each separated by new line
  • Then force add authorized_chats.txt to git and push it to heroku
git add authorized_chats.txt -f
git commit -asm "Added hardcoded authorized_chats.txt"
git push heroku heroku:master

Deploying on Server

  • Start docker daemon (skip if already running):
sudo dockerd
  • Build Docker image:
sudo docker build . -t search-bot
  • Run the image:
sudo docker run search-bot

Credits :

  • python-aria-mirror-bot - lzzy12

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.