def update(self, instance: Playlist, validated_data):
if not instance.user == self.user:
raise ValueError('Playlist is not this user!')
instance.name = validated_data['name']
for song in validated_data['songs']:
instance.songs.add(song)
instance.save()
return instance
def clear_data():
for pl in Playlist.all():
for track in PlaylistTrack.all().filter('playlist =', pl):
track.delete()
pl.delete()
for ob in PlayCount.all():
ob.delete()
def clear_data():
for pl in Playlist.all():
for track in PlaylistTrack.all().filter('playlist =', pl):
track.delete()
pl.delete()
for ob in PlayCount.all():
ob.delete()
def create_playlists(self):
items = []
self.playlist_count = random.randint(10, 500)
for i in range(0, self.playlist_count):
items.append(Playlist(title=f'Tv show {i}'))
Playlist.objects.bulk_create(items)
self.playlists = Playlist.objects.all()
def clear_data():
for pl in Playlist.all():
for track in PlaylistTrack.all().filter('playlist =', pl):
track.delete()
pl.delete()
for u in User.all():
u.delete()
def tearDown(self):
assert memcache.flush_all()
for obj in Playlist.all():
obj.delete()
def tearDown(self):
assert memcache.flush_all()
for obj in Playlist.all():
obj.delete()
def emotion(request):
JSON_PATH = str(BASE_DIR)+"/emotion/model_config.json"
WEIGHTS_PATH = str(BASE_DIR)+"/emotion/model_wts.h5"
## Getting ImgPath
image = Image.objects.get(user=request.user)
image_url = image.Image_url
IMG_PATH = str(BASE_DIR)+"/media/"+str(image_url)
fer = emotion_model.FacialExpressionModel(JSON_PATH,WEIGHTS_PATH,IMG_PATH)
# Once image is available in FER class delete it from database
image.delete()
return_val,processed_img = fer.preprocessImg()
if return_val=="noFace":
error="No Face detected for given image ,Try again with new img :("
return redirect("error-page",error)
elif return_val=="mulFace":
error="Multiple Face detected for given image ,Try again with new img :("
return redirect("error-page",error)
elif return_val=="exception":
error="An Unkwon Error Ocurred, Please Try Again :("
return redirect("error-page",error)
emotion = ""
if return_val:
success = fer.predictEmotion(processed_img)
if success:
emotion += fer.getEmotions()
print(f'\n\n\nEMOTION IS {emotion}\n\n\n')
else:
print("PreProcess me error")
#context = {'emotion':emotion,'image':image_url}
#####
user_songs=Song.objects.filter(user=request.user).filter(emotion=emotion)
admin =User.objects.filter(username='******')[0]
admin_songs=Song.objects.filter(user=admin).filter(emotion=emotion)
ply=Playlist.objects.filter(user=admin).filter(playlist_name=request.user.username+'_'+emotion)
print(ply)
if ply :
ply.delete()
playlist=Playlist(user=admin,playlist_name=request.user.username+'_'+emotion,
number_of_songs=-1)
playlist.save()
for song in user_songs:
relation=Playlist_songs(playlist=playlist,song=song)
relation.save()
sz=admin_songs.count()
# print(sz)
sampling = set(random.sample(list(range(0,sz)), k=min(10,sz)))
i=0
order=[*range(sz)]
random.shuffle(order)
# print(user_songs)
# print(admin_songs)
# print(order,sampling)
while i <sz :
if order[i] in sampling:
print(i,order[i],admin_songs[order[i]])
relation=Playlist_songs(playlist=playlist,song=admin_songs[order[i]])
relation.save()
i+=1
return redirect('displayPlaylist',playlist.id)