def test_get_tracks(self):
e = Echonest()
s = Spotify()
tracks = e.search_songs("happy")
self.assertTrue(len(tracks) > 0)
for t in tracks:
t.load_spotify(s)
print("{0}/{1} {2}".format(t.title, t.artist_name, t.preview_url))
def test_get_tracks(self):
e = Echonest()
s = Spotify()
tracks = e.search_songs("happy")
self.assertTrue(len(tracks) > 0)
for t in tracks:
t.load_spotify(s)
print("{0}/{1} {2}".format(t.title, t.artist_name, t.preview_url))
def convert(image_urls):
ec = Echonest()
sp = Spotify()
log = []
# analyze moode
log.append("begin vision recognition")
target_mood = photo2mood(image_urls)
# choose song from mood
log.append("begin search song by mood")
tracks = ec.search_songs(target_mood)
# load spotify info
@asyncio.coroutine
def load_spotify(t):
t.load_spotify(sp)
log.append("begin load song information")
tasks = [load_spotify(t) for t in tracks]
done, _ = asyncio.get_event_loop().run_until_complete(asyncio.wait(tasks))
result = _make_result(target_mood, tracks, log=log)
return result
def convert(image_urls):
ec = Echonest()
sp = Spotify()
log = []
# analyze moode
log.append("begin vision recognition")
target_mood = photo2mood(image_urls)
# choose song from mood
log.append("begin search song by mood")
tracks = ec.search_songs(target_mood)
# load spotify info
@asyncio.coroutine
def load_spotify(t):
t.load_spotify(sp)
log.append("begin load song information")
tasks = [load_spotify(t) for t in tracks]
done, _ = asyncio.get_event_loop().run_until_complete(asyncio.wait(tasks))
result = _make_result(target_mood, tracks, log=log)
return result