def gen(cls, self_data, friend_data):
phrases = [status['message']
for status in get_paged_data(friend_data, 'statuses')]
phrases.extend(get_captions(get_paged_data(friend_data, 'photos')))
# We deduplicate phrases because an album of pictures can produce
# hundreds of the same exact caption.
word_count = get_word_count(set(phrases))
del word_count[friend_data['first_name'].lower()]
return cls(word_count)
def gen(cls, self_data, friend_data):
tags = defaultdict(int)
for photo in get_paged_data(friend_data, 'photos'):
for tag in get_paged_data(photo, 'tags'):
if 'id' not in tag:
continue # Ignore tags of non-fb objects
tags[tag['name']] += weight(photo)
del tags[friend_data['name']]
return cls(tags)
def gen(cls, self_data, friend_data):
photos = get_paged_data(friend_data, 'photos')
chosen_photo = get_geotagged_photo(photos)
location = chosen_photo['place']['name']
all_locations = get_unique_locations(
[photo for photo in photos if 'place' in photo] + [chosen_photo])
return cls(get_sized_photo(chosen_photo), [location], all_locations)
def gen(cls, self_data, friend_data):
photos = get_paged_data(friend_data, 'photos')
chosen_photo = get_geotagged_photo(photos)
location = chosen_photo['place']['name']
all_locations = get_unique_locations(
[photo for photo in photos if 'place' in photo] + [chosen_photo]
)
return cls(get_sized_photo(chosen_photo), [location], all_locations)
def gen(cls, self_data, friend_data):
photos = get_paged_data(friend_data, 'photos')
photo = get_captioned_photo(photos)
return cls(
get_sized_photo(photo),
[get_caption(photo)],
get_captions(photos),
)
def gen(cls, self_data, friend_data):
photos = get_paged_data(friend_data, 'photos')
photo = get_commented_photo(photos)
return cls(
get_sized_photo(photo),
get_photo_comments(photo),
get_all_comments(photos),
)
def gen(cls, self_data, friend_data):
photos = get_paged_data(friend_data, 'photos')
photo = get_captioned_photo(photos)
return cls(
get_sized_photo(photo),
[get_caption(photo)],
get_captions(photos),
)
def get_liked_and_unliked_statuses(self_data, friend_id):
self_statuses_data = get_paged_data(self_data, 'statuses')
status_data = dict()
for status in self_statuses_data:
if 'likes' in status:
status_data[status['message']] = get_paged_data(status, 'likes')
liked_statuses = set()
unliked_statuses = set()
for key, val in status_data.iteritems():
for v in val:
if v['id'] == friend_id:
liked_statuses.add(key)
else:
unliked_statuses.add(key)
return list(liked_statuses), list(unliked_statuses)
def get_liked_and_unliked_statuses(self_data, friend_id):
self_statuses_data = get_paged_data(self_data, 'statuses')
status_data = dict()
for status in self_statuses_data:
if 'likes' in status:
status_data[status['message']] = get_paged_data(status, 'likes')
liked_statuses = set()
unliked_statuses = set()
for key, val in status_data.iteritems():
for v in val:
if v['id'] == friend_id:
liked_statuses.add(key)
else:
unliked_statuses.add(key)
return list(liked_statuses), list(unliked_statuses)
def gen(cls, self_data, friend_data):
mutual_friends = [
context['name']
for context in get_context_data(friend_data, 'context')
]
non_mutual_friends = [
friends['name']
for friends in get_paged_data(self_data, 'friends')
]
results = []
for friend in non_mutual_friends:
if not friend in mutual_friends and friend != friend_data['name']:
results.append(friend)
return cls(results, mutual_friends)
def gen(cls, self_data, friend_data):
likes = [like['name'] for like in get_paged_data(friend_data, 'likes')]
fake_likes = [
fake_like for fake_like in FAKE_LIKES if fake_like not in likes
]
return cls(fake_likes, likes)
def gen(cls, self_data, friend_data):
time_start = time()
photos = get_paged_data(friend_data, 'photos')
photos = get_photo_arr_with_tags(photos, friend_data['id'])
length = min(len(photos), NUM_PICTURES)
#Pull down photos
photo_arr = get_photos_threaded(photos[:length])
photo_arr = sorted(photo_arr)
#Grab skin color and shirt_color
skin_color_arr = []
shirt_color_arr = []
for photo, tag_coords in photo_arr:
#Get Skin Color in a "Plus" Pattern
for n in range(-1, 2):
color = get_color_avg(photo, tag_coords, 0, float(n) * CROSS_RAD)
if color:
skin_color_arr.append(color)
for n in range(-1, 2):
if n == 0: continue
color = get_color_avg(photo, tag_coords, float(n) * CROSS_RAD, 0)
if color:
skin_color_arr.append(color)
#Get Shirt Color in a "Plus" Pattern
Y_OFFSET_PERCENT = 20.0
for n in range(-1, 2):
color = get_color_avg(photo, tag_coords, 0, Y_OFFSET_PERCENT + float(n) * CROSS_RAD)
if color: shirt_color_arr.append(color)
for n in range(-1, 2):
if n == 0: continue
color = get_color_avg(photo, tag_coords, float(n) * CROSS_RAD, Y_OFFSET_PERCENT)
if color: shirt_color_arr.append(color)
#Get average skin color of the person
skin_color, scores = point_cluster.cluster(skin_color_arr, 5)
maxindex_skin = scores.index(max(scores))
#Get average shirt colors, remove color that is closest to skin color
shirt_color, scores = point_cluster.cluster(shirt_color_arr, 5)
shirt_color, index = point_cluster.removeClosestColor(shirt_color, skin_color[maxindex_skin])
scores = scores[:index] + scores[index+1 :] #Update score array w/removed color
maxindex_shirt = scores.index(max(scores))
#Get correct and incorrect answers
correct_answer = shirt_color[maxindex_shirt]
shirt_color.remove(correct_answer)
incorrect_answers = shirt_color
logger.debug("TIME: Pictures fetch: %sms",
round(1000 * (time() - time_start)))
return cls(
[correct_answer],
incorrect_answers,
)
def gen(cls, self_data, friend_data):
statuses = [
status['message']
for status in get_paged_data(friend_data, 'statuses')
]
return cls(FAKE_STATUSES, statuses)
