* Some simple code for extracting data from the jsons
* Jupiter Notebook
* Mac specific gitignore
* Fixed finding paths to floders
* Delete src/gdpr_data directory
* Updated gitignore to include my testing file
* Added the standard saving path for the database in the database handler, this way multiple files dont have to be updated when moving database position
* Moved the API usage wrappers into an own file, added a function for getting multiple track_ids at once, this still needs to be tested more
* Further code for extracting data from the gdpr files
* Forgor
* Final&Tested version of get_multiple_tracks_information endpoint
* Further functionality: The code now extracts the id of each listened song and makes a api call to get info about these songs via the multiple tracks api. Furthermore we track the songs witch the call is made for already and skip these
* Added function to map catalouged ids into the play history
* Added args parser to runtime program, cleaned up some code
* Fixed a bug where the database would always try to create tables, eaven if it exists
* Added some small text for clean interface
* Some final fixes to actual code, fixed db bug, reversed the order of database entries
* Some documentation
* Added -export args to docker runtime
* fix
* Add volume mounts to Dockerfile to enable persisten storing of
database and tokens when using docker
* Makefile helps with cleanup and building the Dockerfile
* Startup fires the predictify runtime inside the container
* `.dockerignore` contains files that are not needed by the docker,
e.g. files that would otherwise slow build process down
* Change path of db and token to `data` which helps to sperate source
code from data files like `tokens.json` & `spotify_scraped.db`
* Change path of `.env` `src/env/` to `config/` for the same reason as
mentioned above
* Added the newly created files to `.gitigore` accordingly
agres