def update_related_users(user1, image): images_used = ImageUsed.query(ImageUsed.image == image) for imgUsed in images_used: user2 = imgUsed.user r_user = RelatedUsers.query(RelatedUsers.user1.IN([user1, user2]), RelatedUsers.user2.IN([user1, user2])).get() if r_user is not None: r_user.relation += 1 else: r_user = RelatedUsers(user1=user1, user2=user2, relation=1) r_user.put()
def update_related_users(user1, image):
images_used = ImageUsed.query(ImageUsed.image == image)
for imgUsed in images_used:
user2 = imgUsed.user
r_user = RelatedUsers.query(RelatedUsers.user1.IN([user1, user2]),
RelatedUsers.user2.IN([user1,
user2])).get()
if r_user is not None:
r_user.relation += 1
else:
r_user = RelatedUsers(user1=user1, user2=user2, relation=1)
r_user.put()
def get_images_collaborative(user, key_words, pictograms):
def callback(images_used):
return images_used.user
recommended_images = pictograms
images = Image.query(ndb.OR(Image.keyWords.keyWord.IN(key_words), Image.tags.tag.IN(key_words))).fetch(keys_only=True)
if len(images) > 0:
query = ImageUsed.query(ImageUsed.image.IN(images))
if query.count() > 0:
users = query.map(callback)
query = RelatedUsers.query(ndb.OR(RelatedUsers.user1 == user, RelatedUsers.user2 == user)).filter(
ndb.OR(RelatedUsers.user1.IN(users), RelatedUsers.user2.IN(users))).order(-
RelatedUsers.relation)
related = query.fetch(LIMIT_OF_RUSERS)
for ru in related:
if ru.relation > MINIMUM_RELATION:
related_user = ru.get_related_user(user)
images_used = ImageUsed.query(ImageUsed.user == related_user, ImageUsed.image.IN(images)).order(ImageUsed.count)
for image_used in images_used:
image = image_used.image
if not (image.id() in recommended_images):
recommended_images.append({tfg_server.BLOB: image.id(), tfg_server.LINK: image.get().link})
break
if len(recommended_images) > IMAGES_COLLABORATIVE:
break
else:
break
return recommended_images
