def _reset(self, full=False):
""" clear recent play history + unset last played track """
self.acquire()
self._history.clear()
self._lastplayed_track = None
self._playing_track = None
for track in TrackFactory.active_tracks():
track.ranking = 0.5
track.relation = 0.5
track.relation_old = 0.5
track.relation_cnt = 0
if full:
for track in TrackFactory.active_tracks():
track.lastplayed = 0
track.laststarted = 0
track.lastqueued = 0
for artist in ArtistFactory.active_artists():
artist.lastplayed = 0
artist.laststarted = 0
artist.lastqueued = 0
self.release()
def _update_ranking(self, locked=False):
benchmark = Benchmark()
if not locked: self.acquire()
seed_track = None
if self._lastplayed_track:
seed_track = self._lastplayed_track
elif self._playing_track:
seed_track = self._playing_track
if not self._relation_resetted:
benchmark.start()
self._relation_resetted = True
for track in TrackFactory.active_tracks():
track.relation_old = track.relation
track.relation_sum = 0.0
track.relation_cnt = 0
for artist in ArtistFactory.active_artists():
artist.relation_old = artist.relation
artist.relation_sum = 0.0
artist.relation_cnt = 0
self._logger.info(u"update ranking: resetting took %s" % benchmark)
has_active_tracks = False
for track in TrackFactory.active_tracks():
has_active_tracks = True
break
benchmark.start()
# new relation = old relation * decay
# e.g. for decay = 0.5 (0.75)
# decfacA = 0.5 * 0.5 = 0.25 (0.75 * 0.5 = 0.375)
# decfacB = 1.0 - 0.5 = 0.5 (1.0 - 0.75 = 0.25)
# relation_old=0.75 -> 0.25+0.5*0.75=0.625 (0.375+0.25*0.75=0.5625)
decfacA = self._relation_decay * 0.5
decfacB = 1.0 - self._relation_decay
for track in TrackFactory.active_tracks():
if (track.relation_old > 0.501) or (track.relation_old < 0.499):
track.relation = (decfacA + decfacB * track.relation_old)
else:
track.relation = 0.5
for artist in ArtistFactory.active_artists():
if (artist.relation_old > 0.501) or (artist.relation_old < 0.499):
artist.relation = (decfacA + decfacB * artist.relation_old)
else:
artist.relation = 0.5
self._logger.info(u"update ranking: set old relation + decay took %s" %
benchmark)
if has_active_tracks:
self._ranking_updated = True
self.seed(seed_track, True)
benchmark.start()
at = []
tt = []
for track in TrackFactory.active_tracks():
"""
so we have:
ranking [0-1.0] (old)
rating [0-1.0]
relation [0-1.0]
random [0-1.0]
and:
factor min(track_lastplayed/started,artist_lastplayed/started) [0-1.0]
? moved to next_file()
"""
artist = track.artist
r = random()
# calculate new ranking
if track.boost:
self._logger.info(u"pre boost: %s" % track)
track.relation = (track.relation + 99.0) / 100.0
self._logger.info(u"post boost: %s" % track)
elif track.ban:
track.relation = 0.0
# mix with artist relation if we don't have a track relation
if track.relation_cnt == 0:
if artist.relation_cnt > 0:
track.relation = (0.75 * track.relation + 0.25 * artist.relation)
top_ten(at, u'relation cnt = {} with {} now {} to {}'.format(
artist.relation_cnt, scale_rating(artist.relation),
scale_rating(track.relation), artist), track.relation)
else:
top_ten(tt, u'relation cnt = {} with {} to {}'.format(
track.relation_cnt, scale_rating(track.relation), track),
track.relation)
track.ranking = (
self._factor_ranking['rating'] * track.get_rating() +
self._factor_ranking['relation'] * track.relation +
self._factor_ranking['random'] * r
)
self._logger.info(u"update ranking: took %s" % benchmark)
self._update_queued = False
if not locked: self.release()
def reset_boost(self, locked=False):
if not locked: self.acquire()
for track in TrackFactory.active_tracks():
track.boost = False
if not locked: self.release()
def next_file(self, locked=False):
self._logger.info(u"next file: start")
if not locked: self.acquire()
if not self._ranking_updated: self.update_ranking()
best_ranking = 0
best_tracks = []
tt = []
timestamp = now()
# calculate last_*_timestamps (played / queued / started)
track_lastplayed_timestamp = timestamp - self._thres_track_lastplayed
track_laststarted_timestamp = timestamp - self._thres_track_laststarted
track_lastqueued_timestamp = timestamp - self._thres_track_lastqueued
artist_lastplayed_timestamp = timestamp - self._thres_artist_lastplayed
artist_laststarted_timestamp = timestamp - self._thres_artist_laststarted
artist_lastqueued_timestamp = timestamp - self._thres_artist_lastqueued
has_active_tracks = False
for track in TrackFactory.active_tracks():
has_active_tracks = True
artist = track.artist
factor = 1.0
if (track.lastplayed > track_lastplayed_timestamp):
factor = min(factor,
1.0 - ((1.0 * track.lastplayed - track_lastplayed_timestamp) /
self._thres_track_lastplayed))
if (artist.lastplayed > artist_lastplayed_timestamp):
factor = min(factor,
1.0 - ((1.0 * artist.lastplayed - artist_lastplayed_timestamp) /
self._thres_artist_lastplayed))
if (track.laststarted > track_laststarted_timestamp):
factor = min(factor,
1.0 - ((1.0 * track.laststarted - track_laststarted_timestamp) /
self._thres_track_laststarted))
if (artist.laststarted > artist_laststarted_timestamp):
factor = min(factor,
1.0 - ((1.0 * artist.laststarted - artist_laststarted_timestamp) /
self._thres_artist_laststarted))
if (track.lastqueued > track_lastqueued_timestamp):
factor = min(factor,
1.0 - ((1.0 * track.lastqueued - track_lastqueued_timestamp) /
self._thres_track_lastqueued))
if (artist.lastqueued > artist_lastqueued_timestamp):
factor = min(factor,
1.0 - ((1.0 * artist.lastqueued - artist_lastqueued_timestamp) /
self._thres_artist_lastqueued))
ranking = int(self._ranking_base * factor * track.ranking)
if ranking > best_ranking:
self._logger.debug("%2.2f (best=): %s" % (ranking, track))
best_ranking = ranking
best_tracks = [track]
elif ranking == best_ranking:
self._logger.debug("%2.2f (best+): %s" % (ranking, track))
best_tracks.append(track)
top_ten(tt, track, ranking)
if not has_active_tracks:
self._logger.error(u"No active tracks")
if not locked: self.release()
return None
top_ten_dump(tt, self._logger.info, u"rank")
self._logger.info("best tracks: %d" % (len(best_tracks)))
best_track = choice(best_tracks)
best_track.started()
# pick the best file
best_rating = 0.0
best_files = []
for file in best_track.files():
if not file.active: continue
t = file.playcount / (1.0 + file.skipcount)
if t > best_rating:
best_rating = t
best_files = [file]
elif t == best_rating:
best_files.append(file)
if not locked: self.release()
self._logger.info(u"next file: stop")
return choice(best_files)