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This repository is used to work with some object-oriented architecture concepts, Apache 🐪, and SpotifyFM data.

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michplunkett/spotifyfm-camel

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SpotifyFM 🐪

Since 2006 I have been keeping track of almost every song I have listened to through a web application called Last.fm. That has enabled me to generally see the trends in what I've listened to since I signed up for the service. Since about 2011, I have used Spotify as my primary music service, meaning that any record of a track I have listened to has some presumed Spotify track ID associated with it.

With this project, I am creating a messaging service that takes advantage of three datasets I have produced using the combination of Last.fm and Spotify data. Based on previous work, I curated a list of all the tracks I have listened to, when I listened to them, their respective duration, and a handful of features that Spotify calculates for every song in their system. This system will take a list of songs I have listened to since 2015 (with 1 out of every 8 of the 140k tracks being used), fetch their respective Spotify song IDs, fetch their audio features, and then calculate some metrics based on those features.

General Flow of Application

Information flow of the application

  • Instead of storing the valence statistics to a JSON file, I am printing them to std.out.

Instructions to Run the Application

  1. To run this, I use Apache Maven 3.9.2 and sync with the sources in thepom.xml file.
  2. Start ActiveMQ, I'm using version 5.18.1, using the command activemq console.
  3. Run the application by running the main function in the Main.java file.

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This repository is used to work with some object-oriented architecture concepts, Apache 🐪, and SpotifyFM data.

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