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Ironic Redistribution System

License: GNU Stars Build Status PyPI

A music downloader that understands your metadata needs.

A tool to download your music with metadata. It uses Spotify for finding metadata and list contents and uses Youtube for the actual audio.

Works with Python 2 and 3.


Demo and Usages

This is a demo of the CLI displayling its features: demo

The usages can be found with the -h or --help flag:

usage: irs [-h] [(-a ARTIST -s SONG)] [-A ALBUM] [(-u USERNAME -p PLAYLIST)]

optional arguments:
  -h, --help            show this help message and exit
  -a ARTIST, --artist ARTIST
                        Specify artist name. Must be used with -s/--song
  -s SONG, --song SONG  Specify song name. Must be used with -a/--artist
  -A ALBUM, --album ALBUM
                        Specify album name
  -u USERNAME, --username USERNAME
                        Specify username. Must be used with -p/--playlist
  -p PLAYLIST, --playlist PLAYLIST
                        Specify playlist name. Must be used with -u/--username

So all of these are valid commands:

$ irs -a "Brandon Flowers" -s "Lonely Town"
$ irs -u "spotify" -p "Brain Food"
$ irs -A "Suicide Squad: The Album"

But these are not:

$ irs -s "Bohemian Rhapsody"
$ irs -p "Best Nirvana"

Metadata

Currently, the program attaches the following metadata to the downloaded files:

  • Title
  • Artist
  • Album
  • Album Art
  • Genre
  • Track Number
  • Disc Number
  • Compilation (iTunes only)

Philosophy

When I made this program I was pretty much broke and my music addiction wasn't really helping that problem. So, I did the obvious thing: make an uber-complicated program to steal download music for me! As for the name, its acronym spells IRS, which I found amusing, seeing as the IRS takes steals money while my program gives reimburses you with music.

Wishlist

  • Finds album based off of song name and artist
  • Full album downloading
  • Album art metadata correctly displayed
  • Spotify playlist downloading
  • GUI/Console interactive version - in progress
  • Lyric metadata
  • 99% success rate for automatic song choosing