https://github.com/kiliankoe/htwdresdenbot
📚 HTWDresden Telegram Bot
https://github.com/kiliankoe/htwdresdenbot
dresden htw-dresden telegram-bot
Last synced: 2 months ago
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📚 HTWDresden Telegram Bot
- Host: GitHub
- URL: https://github.com/kiliankoe/htwdresdenbot
- Owner: kiliankoe
- Created: 2017-07-28T16:09:52.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2018-02-28T13:26:27.000Z (over 7 years ago)
- Last Synced: 2025-02-13T03:27:03.728Z (4 months ago)
- Topics: dresden, htw-dresden, telegram-bot
- Language: Python
- Homepage: https://telegram.me/htwdresdenbot
- Size: 116 KB
- Stars: 3
- Watchers: 4
- Forks: 0
- Open Issues: 4
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 📚 HTWDresdenBot
Telegram bot to give you current data from the [University of Applied Sciences Dresden](https://www.htw-dresden.de).
Message [@htwdresdenbot](http://telegram.me/htwdresdenbot) to get started 👌
## Usage
Just type `/` in a chat with the bot and your client will list possible commands.
## Disclaimer
**This is not an official HTW Dresden project.**
When asking the bot for your grades it unfortunately requires your login details. The telegram account [@htwdresdenbot](http://telegram.me/htwdresdenbot) is run by me, [@kiliankoe](http://telegram.me/kiliankoe). This means that you're basically trusting me to keep your login safe. Whilst I promise not to do anything nefarious with that, it is *extremely advisable* to run an instance of this bot yourself that you control and trust. Keep reading for instructions on how to do that.
## Run your own instance
All you need to run this bot is a telegram bot token (message [@botfather](http://telegram.me/botfather)) and docker on the machine you want to run this from. Once you do, run the following.
```shell
$ git pull https://github.com/kiliankoe/htwdresdenbot
$ cd htwdresdenbot
$ docker build -t htwbot .
$ docker run -d --name htwbot -v $(pwd)/htw_bot.db:/htwbot/htw_bot.db -e TELEGRAM_BOT_TOKEN='your_bot_token' htwbot
```
If you're not into using docker, you can also run the bot directly by executing `main.py` with a python interpreter of your choice (supported/tested is 3.6).