def test_loud(self):
with bl_song("/tmp/test.mp3") as song:
self.assertAlmostEqual(song["force"], 11.403019)
# self.assertEqual(song.force_vector.tempo, 2.517007)
# self.assertEqual(song.force_vector.amplitude, 0.107364)
# self.assertEqual(song.force_vector.frequency, -1.432200)
# self.assertEqual(song.force_vector.attack, 10.210849)
self.assertEqual(song["channels"], 2)
self.assertEqual(song["nSamples"], 25021440)
self.assertEqual(song["sample_rate"], 44100)
self.assertEqual(song["bitrate"], 198332)
self.assertEqual(song["nb_bytes_per_sample"], 2)
self.assertEqual(song["calm_or_loud"], BL_LOUD)
self.assertEqual(song["duration"], 283)
self.assertEqual(song["artist"], "David TMX")
self.assertEqual(song["title"], "Lost in dreams")
self.assertEqual(song["album"], "Renaissance")
self.assertEqual(song["tracknumber"], "14")
self.assertEqual(song["genre"], "(255)")
def analyze(url_lib, url_csv, self):
if self.recursive:
file_list = [
os.path.join(dp, f)
for dp, dn, fn in os.walk(os.path.expanduser(url_lib)) for f in fn
]
else:
file_list = [
os.path.join(url_lib, f) for f in os.listdir(url_lib)
if os.path.isfile(os.path.join(url_lib, f))
]
audio_files = []
for file_n in file_list:
guess = mimetypes.guess_type(file_n)[0]
if guess is not None and "audio" in guess:
audio_files.append(file_n)
if not audio_files:
print("Please enter a valid directory containing audio files")
self.goBtn.set_label("Go")
return
self.label_done.hide()
self.progressBar.show()
self.progressBar.set_ellipsize(Pango.EllipsizeMode.MIDDLE)
self.progressBar.set_show_text(True)
with open(url_csv, "w") as csvfile:
library_writer = csv.writer(csvfile,
delimiter='|',
quotechar="'",
quoting=csv.QUOTE_MINIMAL)
for i, file_n in enumerate(audio_files):
if self.e.isSet():
self.e.clear()
break
with bliss.bl_song(file_n) as song:
# Test if the file has been decoded properly (ugly)
if song["duration"] > 0:
self.progressBar.set_text(song["filename"])
library_writer.writerow(
(song["filename"], song["album"],
song["force_vector"]["attack"],
song["force_vector"]["tempo"],
song["force_vector"]["amplitude"],
song["force_vector"]["frequency"]))
csvfile.flush()
else:
print("Couldn't decode file '%s', skipping..." % file_n)
self.progressBar.set_fraction(i / (len(audio_files) - 1))
self.progressBar.hide()
self.label_done.set_label("Done!")
self.label_done.show()
self.goBtn.set_label("Go")
print("Scan completed, data is availabe at '%s'" % url_csv)
file_list = [
os.path.join(dp, f) for dp, dn, fn in os.walk(os.path.expanduser(url))
for f in fn
]
audio_files = []
for file_n in file_list:
guess = mimetypes.guess_type(file_n)[0]
if guess is not None and "audio" in guess:
audio_files.append(file_n)
playlist = []
force_vectors = []
for file_n in audio_files:
with bliss.bl_song(file_n) as song:
if song['duration'] > 0:
force_vector = np.array((
song['force_vector']['attack'],
song['force_vector']['amplitude'],
song['force_vector']['frequency'],
song['force_vector']['tempo'],
))
playlist.append(os.path.basename(file_n))
force_vectors.append(force_vector)
print('Analyzing %s...' % file_n)
index = 0
if first_song_playlist in playlist:
index = playlist.index(first_song_playlist)
#!/usr/bin/env python
from bliss import bl_song
if __name__ == "__main__":
# Some example code
import json
# You can create an empty bl_song and manually set some fiels
song = bl_song()
song.set("artist", "foobar")
song.set("force", 1)
print(bl_song)
print(song.get("artist"))
print(str(song.get("force")))
print(song["artist"])
song["artist"] = "foo"
print(song["artist"])
# You can also load metadata from a given file
song = bl_song("/tmp/test.mp3")
print(song["genre"])
song.free() # Call free on the song when done, to free dynamically
# allocated memory, in the C code
# Best syntax is to use a with statement which frees automatically
with bl_song("/tmp/test.mp3") as song:
print(song["artist"])
print(song["force_vector"])
song["sample_array"] = []
song["nSamples"] = 0 # Do *not* forget to update number of samples
song["force_vector"] = {"tempo": 1., "attack": 2., "amplitude": 3.,
#!/use/bin/env python
from bliss import bl_song, distance
# Some examples of distance computation
if __name__ == "__main__":
# Compute directly with filenames
distance_out = distance.distance("/tmp/test.mp3", "/tmp/test.mp3")
print(distance_out["distance"])
# Always free the bl_song struct when done!
distance_out["song1"].free()
distance_out["song2"].free()
distance_out = distance.cosine_similarity("/tmp/test.mp3", "/tmp/test.mp3")
print(distance_out["similarity"])
# Always free the bl_song struct when done!
distance_out["song1"].free()
distance_out["song2"].free()
# Compute using a previously loaded bl_song
with bl_song("/tmp/test.mp3") as song1:
print(distance.distance(song1, song1)["distance"])
print(distance.cosine_similarity(song1, song1)["similarity"])