My Spotify Statistics

My first own side-project (and final project for HarvardX CS50) where I, try to, dive straight into the world of Web Programming. I decided to make a web application which interacts with the Spotify Web API and enables you to analyse your Spotify 'footprint', look up analysis for any track or own playlist. As an added bonus I included a tool which automatically creates a unique playlist in your Spotify account, based on the top 10 tracks of the artists you like to include in the playlist.

Note: this web application is built responsively, although viewing it on PC is recommended for UX due to high usage of tables

Features

• Profile Overview
  • Your display name, user-id, followers, followed, artists, subscription, saved tracks, recently played tracks...
• Playlist Overview
  • Total tracks, owner...
• Track and Playlist Analytics
  • Danceability, Energy, Speechiness, Acousticness, Valence, Tempo...
• User Statistics
  • Top Tracks, Top Artists, Top Genres (on short, middle and long term)
• Party Planner
  • Creates a playlist based on the top tracks of of your party guests's top artists
• Running Tool (under development)
  • Creates a playlist in 1 or more specific genre(s) based on your required beats per minute (bpm) running cadence

User Authentication

Authentication is done through User Authentication with OAuth2.0 with the Authorization Code Flow. Note: handling of refresh tokens for extended sessions (> 60mins) has not yet been implemented. Due to the nature of this web application this will not result in any problems for users trying out the app for short periods of time.

How to run in local environment (Windows users)?

1. Create a virtual environment (eg. with Visual Studio)
2. Set the required environment variables eg. with Windows Powershell after navigating to the local repository where you saved/cloned the project:
   • For example: C:\Users\frederik\source\repos\My Spotify Statistics\My Spotify Statistics\env> $ENV:FLASK_APP="application.py"
   • CLIENT_SIDE_URL="http://127.0.0.1:5000" (or any other localhost port)
   • CLIENT_ID (you can create one yourself at the Spotify for Developers Dashboard)
   • CLIENT_SECRET (ditto the above)
   • FLASK_APP="application.py"
   • FLASK_ENV="development"
3. Navigate to the directory which contains the "FLASK_APP" application (usually 1 level up compared to the previous step)
4. Run the Flask server through eg. C:\Users\frederik\source\repos\My Spotify Statistics\My Spotify Statistics> flask run

Technologies & Frameworks

• Python (Flask, Matplotlib)
• HTML, CSS (Bootstrap)
• Javascript (mostly jQuery)