#[cfg(feature = "serde")] use anyhow::Result; #[cfg(feature = "serde")] use bliss_audio::playlist::{closest_to_first_song, dedup_playlist, euclidean_distance}; #[cfg(feature = "serde")] use bliss_audio::{analyze_paths, Song}; #[cfg(feature = "serde")] use clap::{App, Arg}; #[cfg(feature = "serde")] use glob::glob; #[cfg(feature = "serde")] use std::env; #[cfg(feature = "serde")] use std::fs; #[cfg(feature = "serde")] use std::io::BufReader; #[cfg(feature = "serde")] use std::path::{Path, PathBuf}; /* Analyzes a folder recursively, and make a playlist out of the file * provided by the user. */ // How to use: ./playlist [-o file.m3u] [-a analysis.json] #[cfg(feature = "serde")] fn main() -> Result<()> { let matches = App::new("playlist") .version(env!("CARGO_PKG_VERSION")) .author("Polochon_street") .about("Analyze a folder and make a playlist from a target song") .arg(Arg::with_name("output-playlist").short("o").long("output-playlist") .value_name("PLAYLIST.M3U") .help("Outputs the playlist to a file.") .takes_value(true)) .arg(Arg::with_name("analysis-file").short("a").long("analysis-file") .value_name("ANALYSIS.JSON") .help("Use the songs that have been analyzed in , and appends newly analyzed songs to it. Defaults to /tmp/analysis.json.") .takes_value(true)) .arg(Arg::with_name("FOLDER").help("Folders containing some songs.").required(true)) .arg(Arg::with_name("FIRST-SONG").help("Song to start from (can be outside of FOLDER).").required(true)) .get_matches(); let folder = matches.value_of("FOLDER").unwrap(); let file = fs::canonicalize(matches.value_of("FIRST-SONG").unwrap())?; let pattern = Path::new(folder).join("**").join("*"); let mut songs: Vec = Vec::new(); let analysis_path = matches .value_of("analysis-file") .unwrap_or("/tmp/analysis.json"); let analysis_file = fs::File::open(analysis_path); if let Ok(f) = analysis_file { let reader = BufReader::new(f); songs = serde_json::from_reader(reader)?; } let analyzed_paths = songs .iter() .map(|s| s.path.to_owned()) .collect::>(); let paths = glob(&pattern.to_string_lossy())? .map(|e| fs::canonicalize(e.unwrap()).unwrap()) .filter(|e| match mime_guess::from_path(e).first() { Some(m) => m.type_() == "audio", None => false, }) .map(|x| x.to_string_lossy().to_string()) .collect::>(); let song_iterator = analyze_paths( paths .iter() .filter(|p| !analyzed_paths.contains(&PathBuf::from(p))) .map(|p| p.to_owned()) .collect::>(), ); let first_song = Song::from_path(file)?; let mut analyzed_songs = vec![first_song.to_owned()]; for (path, result) in song_iterator { match result { Ok(song) => analyzed_songs.push(song), Err(e) => println!("error analyzing {}: {}", path, e), }; } analyzed_songs.extend_from_slice(&songs); let serialized = serde_json::to_string(&analyzed_songs).unwrap(); let mut songs_to_chose_from: Vec<_> = analyzed_songs .into_iter() .filter(|x| x == &first_song || paths.contains(&x.path.to_string_lossy().to_string())) .collect(); closest_to_first_song(&first_song, &mut songs_to_chose_from, euclidean_distance); dedup_playlist(&mut songs_to_chose_from, None); fs::write(analysis_path, serialized)?; let playlist = songs_to_chose_from .iter() .map(|s| s.path.to_string_lossy().to_string()) .collect::>() .join("\n"); if let Some(m) = matches.value_of("output-playlist") { fs::write(m, playlist)?; } else { println!("{}", playlist); } Ok(()) } #[cfg(not(feature = "serde"))] fn main() { println!("You need the serde feature enabled to run this file."); }