bliss-rs is the Rust improvement of bliss, a library used to make playlists by analyzing songs, and computing distance between them.
Like bliss, it eases the creation of « intelligent » playlists and/or continuous play, à la Spotify/Grooveshark Radio, as well as easing creating plug-ins for existing audio players. For instance, you can use it to make calm playlists to help you sleeping, fast playlists to get you started during the day, etc.
For now (and if you're looking for an easy-to use smooth play experience), blissify implements bliss for MPD.
There are also python bindings.
Note 1: the features bliss-rs outputs is not compatible with the ones used by C-bliss, since it uses different, more accurate values, based on actual literature. It is also faster.
For simple analysis / distance computing, a look at examples/distance.rs and
examples/analyse.rs.
Ready to use examples:
``` use bliss_audio::{BlissError, Song};
fn main() -> Result<(), BlissError> { let song1 = Song::new("/path/to/song1")?; let song2 = Song::new("/path/to/song2")?;
println!("Distance between song1 and song2 is {}", song1.distance(&song2));
Ok(())
} ```
``` use blissaudio::{BlissError, Song}; use noisyfloat::prelude::n32;
fn main() -> Result<(), BlissError> {
let paths = vec!["/path/to/song1", "/path/to/song2", "/path/to/song3"];
let mut songs: Vec
// Assuming there is a first song
let first_song = songs.first().unwrap().to_owned();
songs.sort_by_cached_key(|song| n32(first_song.distance(&song)));
println!(
"Playlist is: {:?}",
songs
.iter()
.map(|song| &song.path)
.collect::<Vec<&String>>()
);
Ok(())
} ```
Instead of reinventing ways to fetch a user library, play songs, etc, and embed that into bliss, it is easier to look at the Library trait.
By implementing a few functions to get songs from a media library, and store the resulting analysis, you get access to functions to analyze an entire library (with multithreading), and to make playlists easily.
See blissify for a reference implementation.