start - start bot
download - dl one link and multi link
status - bot status
log - log
reset - restart bot

1. Installing requirements

• Clone repo:

   git clone https://github.com/qobuz-dl/qobuz-dl-telegram-bot
  

2. Set up config file

• Fill up variables config.py:

  • Mandatory variables:

    • API_ID: get this from https://my.telegram.org. Don't put this in quotes
    • API_HASH: get this from https://my.telegram.org
    • BOT_TOKEN: The Telegram Bot Token (get from @BotFather)
    • OWNER_ID: your Telegram User ID (not username) of the owner of the bot
    • AUTH_IDS: Group Id -100xxxx
    • QOBUZ_MAIL: qobuz email
    • QOBUZ_PASS: qobuz pass
    • QOBUZ_QUAL: Quality
    • BOT_USERNAME: Bot username not @
    • LOG_CHANNEL: Channel Id -100xxxx

    Heroku Restart Bot

    • HEROKU_API_KEY: Heroku Api Key
    • HEROKU_APP_NAME: Heroku Name

  5:  MP3-320 Kbps
  6:  CD-16-bit/44,1 kHz
  7:  24-Bit Hi-Res/Upto 96 kHz
  27: 24-Bit Hi-Res/Upto 192 kHz

Artist: https://open.qobuz.com/artist/43821
Albüm:  https://open.qobuz.com/album/doldeure0459b
Track:  https://open.qobuz.com/track/138731318

3. Deploying on VPS Using Docker

• Start Docker daemon (skip if already running), if installed by snap then use 2nd command:

    sudo dockerd
    sudo snap start docker
  

  Note: If not started or not starting, run the command below then try to start.

    sudo apt install docker.io
  

• Build Docker image:

    sudo docker build . -t qobuz-dl-bot 
  

• Run the image:

    sudo docker run qobuz-dl-bot
  

• To stop the image:

    sudo docker ps
    sudo docker stop id
  

• To clear the container:

    sudo docker container prune
  

• To delete the images:

    sudo docker image prune -a
  

4. Deploying on VPS Using docker-compose

NOTE: If you want to use port other than 80, change it in docker-compose.yml

sudo apt install docker-compose

• Build and run Docker image:

sudo docker-compose up

• After editing files with nano for example (nano start.sh):

sudo docker-compose up --build

• To stop the image:

sudo docker-compose stop

• To run the image:

sudo docker-compose start