Data from http://inferno.dekanat.informatik.tu-darmstadt.de (course -> regulation, course -> credit points) is only accessible from inside TU Darmstadt network, e.g., VPN.
-
Install mechanicalsoup, bs4, pystache, sqlite_dbm and mypy as dependencies:
$ pip3 install --user -q mechanicalsoup pystache mypy sqlite_dbm -
Download data from tucan and inferno into a directory called 'cache', and create html+js+css files in a directory called 'gh-pages'.
$ TUID_USER=xxyyxxxx TUID_PASS=xxxxxxxxxxxx sh make.sh -
Now copy the contents of gh-pages to a directory that is served by a webserver, for example via cp or rsync:
$ cp -v -r gh-pages/* ~/.public_html/beautiful-tucan/
Alternatively, it is also possible to perform build and run using Docker:
docker build -t beautiful-tucan -f Dockerfile .
docker run --rm -e TUID_USER=<TU_USER> -e TUID_PASS=<TU_PASSWORD> -v <OUTPUT_PATH>:/dist beautiful-tucan
If you want to use moment.js to generate ical files instead of just string manipulation, run before doing anything:
$ npm install
$ npm run init
Or use the npm.Dockerfile.
docker build -t beautiful-tucan -f npm.Dockerfile .
docker run --rm -e TUID_USER=<TU_USER> -e TUID_PASS=<TU_PASSWORD> -v <OUTPUT_PATH>:/dist beautiful-tucan
This code is based on tucan-crawler by davidgengenbach, which is GPL licenced. Because our code is based on GPL licenced code, this code is also GPL licenced.
Dependencies:
- mechanicalsoup is MIT licenced.
- pystache is MIT licenced.
- python / mypy is Python Software Foundation License (PSF).
Inferno is only accesible from TU Darmstadt network.
I connect with socks proxy over ssh to the c-pool's clientssh3 server. (Use the real address of clientssh3 instead of c3 in the following:)
ssh -D8888 -q -N c3
You need pysocks for compatibilty.
pip3 install pysocks
Then you can run beautiful tucan over the proxy from inside the university network
env all_proxy=socks4://localhost:8888 TUID_USER=xxyyxxxx TUID_PASS=xxxxxxxxxxxx sh make.sh