LoadSimilar 0.2

LoadSimilar provides convenient context menu entries to load all tracks which have various peices of information in common with the selected track (artist/album/genre/year/score/playcount). I created LoadSimilar because I enjoy listening to random mix playlists, but sometimes I hear a song and decide I would like to hear the entire album. Rather than manually dig the album out of my collection, LoadSimilar lets me just LoadSimilar By Album and instantly the album will be loaded. While I was at it, I added the other options for good measure. LoadSimilar creates a menu in the context menu called LoadSimilar, with entries By Artist, By Album, By Genre, By Year, By Score, and By Playcount. Selecting one of these entries will cause LoadSimilar to find all tracks that have the named peice of data in common with the selected track, and load them to your playlist. By default, LoadSimilar will load a maximum of 500 tracks at once, and will clear your playlist before adding tracks. Both of these behavoirs can be easily customized by editing the top of the loadsimilar.py script. LoadSimilar was developed and tested on Amarok 1.4.3 running a MySQL collection database. If you have any problems with the script, email me whatever information you can gather and Ill fix the problem. Usage: LoadSimilar creates a menu in the context menu called LoadSimilar, with entries By Artist, By Album, By Genre, By Year, By Score, and By Playcount. Selecting one of these entries will cause LoadSimilar to find all tracks that have the named peice of data in common with the selected track, and load them to your playlist. By default, LoadSimilar will load a maximum of 500 tracks at once, and will clear your playlist before adding tracks. Both of these behavoirs can be easily customized by editing the top of the loadsimilar.py script..

Requirements:	No special requirements
Platforms:	Linux
Keyword:	Album,  All Tracks,  Amarok Scripts,  Context,  Context Menu,  Entries,  Load,  Loadsimilar,  Menu,  Multimedia,  Tracks,  Your Playlist
Users rating:	0/10