def save_photos_and_tags(user, book, tagged_with_me, comments_on_photos_of_me, photos_of_me):
# Toss any results in 'tagged_with_me' that aren't in 'photos_of_me'
tagged_with_me = tagged_with_me.filter(
lambda x: x['object_id'] in photos_of_me.ids
)
# Get number of people in each photo
# num_tags_by_photo_id = FreqDistResultGetter(tagged_with_me, id_field='object_id')
# Get list of people in each photo
tags_by_user_id = defaultdict(list)
tagged_people_by_photo_id = defaultdict(list)
for tag in tagged_with_me:
tagged_people_by_photo_id[tag['object_id']].append(tag['subject'])
tags_by_user_id[tag['subject']].append(tag)
comments_by_photo_id = defaultdict(list)
comments_score_by_user_id = defaultdict(lambda: 0)
for comment in comments_on_photos_of_me:
# Get the comments in each photo
comments_by_photo_id[comment['object_id']].append(comment)
# Get the number of commments by each user, discounted by year
comments_score_by_user_id[comment['fromid']] += \
TOP_FRIEND_POINTS_FOR_PHOTO_COMMENT / max((THIS_YEAR.year - comment['time'].year + 1.0), 1.0)
# Save the photos to the database
db_photos_by_id = {}
for photo in photos_of_me:
photo_db = Photo(
id = photo['id'],
user = user,
book = book,
created = photo['created'],
people_in_photo = tagged_people_by_photo_id[photo['id']],
height = photo['height'],
width = photo['width'],
url = photo['fb_url'],
all_sizes = [PhotoSize(**size) for size in photo['all_sizes']],
caption = photo['caption'],
comments = [PhotoComment(
made_by = comment['fromid'],
created = comment['time'],
text = comment['text'],
score = get_comment_score(comment),
likes = comment['likes'],
user_likes = comment['user_likes'],
) for comment in comments_by_photo_id[photo['id']] if comment], # it's a defaultdict
)
db_photos_by_id[photo['id']] = photo_db
Photo.insert(db_photos_by_id.items())
# Save the tags to the database
for user_id, tags in tags_by_user_id.items():
book.friends.get(uid=user_id).update(tagged_in_photos__push_all=tags)
# FacebookFriend.objects(book=book, uid=user_id).update(tagged_in_photos__push_all=tags)
results = {
'db_photos_by_id': db_photos_by_id,
'comments_score_by_user_id': comments_score_by_user_id,
}
return results
def run_book(user):
"""
The overall philosophy here is that ----
- these functions annotate the data
- the page classes read the annotations and "claim" photos
"""
runtime_start = time.time()
# Create the book
book = Book(user=user, book_type=BOOK.book_type)
# Run separate, async tasks to facebook
fql_job = group([
run_fql.s(kwargs={'task_cls': PhotosOfMeTask, 'user_id': user.id}),
run_fql.s(kwargs={'task_cls': CommentsOnPhotosOfMeTask, 'user_id': user.id}),
run_fql.s(kwargs={'task_cls': OwnerPostsFromYearTask, 'user_id': user.id}),
run_fql.s(kwargs={'task_cls': OthersPostsFromYearTask, 'user_id': user.id}),
])
job_async = fql_job.apply_async()
# family_async = run_fql.s(task_cls=FamilyTask, user_id=user.id, commit=True).apply_async()
family_async = run_fql.delay(task_cls=FamilyTask, user_id=user.id, commit=True)
# While that's running, collect the other dependent tasks
friends_task_async = get_result_or_run_fql.s(task_cls=GetFriendsTask, user_id=user.id)
tagged_with_me_task_async = get_result_or_run_fql.s(task_cls=TaggedWithMeTask, user_id=user.id)
results = job_async.get()
results['get_friends'] = friends_task_async.get()
results['tagged_with_me'] = tagged_with_me_task_async.get()
## Results contains
get_friends = results['get_friends'] # --> all friends (already saved to db)
tagged_with_me = results['tagged_with_me'] # --> `subject, object_id, created` from tags of photos I am in
comments_on_photos_of_me = results['comments_on_photos_of_me']
others_posts_from_year = results['others_posts_from_year']
owner_posts_from_year = results['owner_posts_from_year']
photos_of_me = results['photos_of_me']
## Save all the photos
results = save_photos_and_tags(user, book, tagged_with_me, comments_on_photos_of_me, photos_of_me)
db_photos_by_id = results['db_photos_by_id']
comments_score_by_user_id = results['comments_score_by_user_id']
## If they don't have enough photos this year, bail out of the yearbook process
if Photo.objects(book=book).get_year(YEARBOOK_YEAR).count() < MIN_TOP_PHOTOS_FOR_BOOK:
celery.current_task.update_state(state='NOT_ENOUGH_PHOTOS')
# This is a hack because celery overwrites the task state when you return
# could also use an `after_return` handler, see http://bit.ly/16U6YKv
return 'NOT_ENOUGH_PHOTOS'
## Calculate top friends
results = calculate_top_friends(user, book,
others_posts_from_year, owner_posts_from_year, db_photos_by_id,
photos_of_me, comments_score_by_user_id)
all_posts_this_year = results['all_posts_this_year']
db_friends_by_id = results['db_friends_by_id']
## Save all posts
db_posts = []
for post in all_posts_this_year:
db_posts.append(WallPost(user=user, book=book, **post))
WallPost.insert(db_posts)
## Score all the photos
calculate_photo_scores(book)
## Calculate top group photos
calculate_top_group_photo_scores(book)
## Calculate top albums
album_score_and_date_by_id = calculate_top_albums(photos_of_me)
## Assign post scores
assign_post_scores(book)
## Pull out birthday posts
birthday_posts = get_birthday_posts(book)
## Go through and add tags to the photo objects
## tags indicate membership in a category - group_photo
## tags may also relate to a (new) score field - group_photo_score
# We run the pages one by one. They run in order of preference (not necessarily book order)
# Each page has a inclusion criteria, and a assignment function
# Back in time
max_year, photos_of_me_by_year = results['photos_of_me'].bucket_by_year()
years = list(sorted(photos_of_me_by_year.keys(), reverse=True))
back_in_time = []
for index, year in enumerate(years[1:NUM_PREV_YEARS + 1]):
year_photo_ids = []
for photo in photos_of_me_by_year[year].order_by('score'):
year_photo_ids.append(photo['id'])
back_in_time.append(year_photo_ids)
rankings.back_in_time = back_in_time
## Assign photos to the Yearbook, avoiding duplicates
# try:
# old_yb = Yearbook.objects.get(rankings=rankings)
# old_yb.delete()
# except Yearbook.DoesNotExist: pass
yb.top_post = 0
yb.birthday_posts = birthday_posts.fields
yb.top_photo_1 = yb.get_first_unused_photo_landscape(rankings.top_photos) # landscape
yb.top_photo_2 = yb.get_first_unused_photo(rankings.top_photos)
yb.top_photo_3 = yb.get_first_unused_photo(rankings.top_photos)
yb.top_photo_4 = yb.get_first_unused_photo(rankings.top_photos)
yb.top_photo_5 = yb.get_first_unused_photo(rankings.top_photos)
# `assign_group_photos` uses FacebookPhoto classes to determine portrait/landscape
# make sure they finished saving to the db
# print 'save_to_db state: %s' % save_to_db_async.state
save_to_db_async.get()
# Assign the group photos from different albums, if possible
# Make one pass assigning from different albums,
# then a second filling in the gaps
# assigned_group_photos = assign_group_photos(yb, rankings, results['photos_of_me'], do_unique_albums=True)
# if assigned_group_photos < NUM_GROUP_PHOTOS:
# assign_group_photos(yb, rankings, results['photos_of_me'], do_unique_albums=False)
## Top friends
# Do this after we assign the top photos and top group photos,
# so we can make sure there are enough unused photos of them
# We need to make sure the user exists in the db
# Users that came back from the db are still in results['get_friends']
saved_friends_ids = results['get_friends'].ids
# Make sure the family task finished running
family_async.get()
# Need to re-sync `user`?
family_ids = user.family.all().values_list('facebook_id', flat=True)
top_friend_ids = []
gfbf_added = False
for user_id, score in sorted(top_friend_score_by_id.items(), key=lambda x: x[1], reverse=True):
if yb.num_unused_photos(tags_by_user_id[user_id]) >= TOP_FRIEND_MIN_UNUSED_PHOTOS and user_id in saved_friends_ids:
# If user is family or gfbf, insert at front
if user_id == user.profile.significant_other_id:
top_friend_ids.insert(0, user_id)
gfbf_added = True
elif user_id in family_ids:
top_friend_ids.insert(1 if gfbf_added else 0, user_id)
else:
top_friend_ids.append(user_id)
# Need to build another list that combines tag and photo score
rankings.top_friends_ids = top_friend_ids[:NUM_TOP_FRIENDS_STORED]
top_friends_photos = []
for friend_id in top_friend_ids:
friend_tags = tags_by_user_id[friend_id]
top_friend_photos = []
for tag in friend_tags:
tag_id = tag['object_id']
photo = results['photos_of_me'].fields_by_id[tag_id]
top_friend_photos.append({'id': tag_id, 'score': top_photo_score_by_id[tag_id],
'width': photo['width'], 'height': photo['height']})
top_friend_photos.sort(key=lambda x: x['score'], reverse=True)
top_friends_photos.append(top_friend_photos)
rankings.top_friends_photos = top_friends_photos
## Assign the top friends
# used_albums = []
for index in range(min(NUM_TOP_FRIENDS, len(top_friend_ids))):
# Index
setattr(yb, 'top_friend_%d' % (index + 1), index)
# Friend stat
if top_friend_ids[index] == user.profile.significant_other_id:
friend_stat = SIGNIFICANT_OTHER_STAT
elif top_friend_ids[index] in family_ids:
friend_stat = FAMILY_STAT
else:
num_tags = len(rankings.top_friends_photos[index])
friend_stat = u'Tagged in %d photo%s with you' % (num_tags, 's' if num_tags > 1 else '')
setattr(yb, 'top_friend_%d_stat' % (index + 1), friend_stat)
# Set photo
# tf_photo_index = yb.get_first_unused_photo(rankings.top_friends_photos[index])
tf_photo_index = yb.get_first_unused_photo_landscape(rankings.top_friends_photos[index])
setattr(yb, 'top_friend_%d_photo_1' % (index + 1), tf_photo_index)
# If photo was portrait, grab another one
# tf_photo_id = rankings.top_friends_photos[index][tf_photo_index]['id']
# tf_photo = results['photos_of_me'].fields_by_id[tf_photo_id]
# if tf_photo['width'] / float(tf_photo['height']) < HIGHEST_SQUARE_ASPECT_RATIO:
# tf_photo_index_2 = yb.get_first_unused_photo(rankings.top_friends_photos[index])
# setattr(yb, 'top_friend_%d_photo_2' % (index + 1), tf_photo_index_2)
## Top albums
# Start pulling album names, photos
# Can't pickle defaultdict? so just call it here, wouldn't save us much time anyway
# pull_albums_async = pull_album_photos.delay(user, album_score_and_date_by_id)
# album_photos_by_score, albums_ranked = pull_albums_async.get()
album_photos_by_score, albums_ranked = pull_album_photos(user, album_score_and_date_by_id)
rankings.top_albums_photos = album_photos_by_score
rankings.top_albums_ranked = albums_ranked
albums_assigned = 0
all_top_albums = rankings.top_albums_photos[:]
curr_album_index = -1
while all_top_albums:
curr_album = all_top_albums.pop(0)
curr_album_index += 1
photos_to_show = []
no_more_pics_of_user = False
while True:
if len(photos_to_show) < PICS_OF_USER_TO_PROMOTE and not no_more_pics_of_user:
# Want a pic of the user, loop through album photos looking for one
photo_of_user = get_next_unused_photo_of_user(
yb,
curr_album,
results['photos_of_me'],
used_indices=photos_to_show
)
if photo_of_user:
photos_to_show.append(photo_of_user)
else:
# No more pics of user, just take the next highest unused photo
no_more_pics_of_user = True
else:
next_photo = yb.get_first_unused_photo(curr_album, used_indices=photos_to_show)
if next_photo is not None:
photos_to_show.append(next_photo)
else:
# No photos left, break
break
if len(photos_to_show) >= ALBUM_PHOTOS_TO_SHOW:
break
if len(photos_to_show) < ALBUM_MIN_PHOTOS:
# Didn't have enough photos, try the next album
continue
# Save the fields
album_str = 'top_album_%d' % (albums_assigned + 1)
setattr(yb, album_str, curr_album_index)
for field_num in range(len(photos_to_show)):
setattr(yb, album_str + '_photo_%d' % (field_num + 1), photos_to_show[field_num])
albums_assigned += 1
if albums_assigned >= NUM_TOP_ALBUMS:
break
## Throughout the year photos
yb.year_photo_1 = yb.get_first_unused_photo_landscape(rankings.top_photos)
yb.year_photo_2 = yb.get_first_unused_photo(rankings.top_photos)
yb.year_photo_6 = get_unused_if_portrait(yb.year_photo_2, rankings.top_photos, yb, results['photos_of_me'])
yb.year_photo_3 = yb.get_first_unused_photo(rankings.top_photos)
yb.year_photo_7 = get_unused_if_portrait(yb.year_photo_3, rankings.top_photos, yb, results['photos_of_me'])
yb.year_photo_4 = yb.get_first_unused_photo(rankings.top_photos)
yb.year_photo_8 = get_unused_if_portrait(yb.year_photo_4, rankings.top_photos, yb, results['photos_of_me'])
yb.year_photo_5 = yb.get_first_unused_photo(rankings.top_photos)
yb.year_photo_9 = get_unused_if_portrait(yb.year_photo_5, rankings.top_photos, yb, results['photos_of_me'])
## Back in time photos
years_to_show = []
for year_index, year in enumerate(back_in_time):
curr_year_unused = yb.get_first_unused_photo(year)
if curr_year_unused is None:
continue
years_to_show.append({'year_index': year_index, 'photo_index': curr_year_unused})
if len(years_to_show) > NUM_PREV_YEARS:
break
# Special case: if only found one year, pull an additional photo from that year
if len(years_to_show) == 1:
that_year_index = years_to_show[0]['year_index']
unused_photo_2 = yb.get_first_unused_photo(back_in_time[that_year_index])
if unused_photo_2 is not None:
years_to_show.append({'year_index': that_year_index, 'photo_index': unused_photo_2})
# Save
for year_num in range(len(years_to_show)):
field_str = 'back_in_time_%d' % (year_num + 1)
setattr(yb, field_str, years_to_show[year_num]['year_index'])
setattr(yb, field_str + '_photo_1', years_to_show[year_num]['photo_index'])
# Tabulate the list of all friends tagged in the book and store
all_photos = yb._get_all_used_ids()
all_tagged_people = itertools.chain(*[
tagged_people_by_photo_id[photo_id] for photo_id in all_photos
])
tagged_people_count = Counter(all_tagged_people)
yb.friends_in_book = tagged_people_count.most_common()
# Update the photos
Photo.insert(db_photos_by_id.items())
# Save the book
book.run_time = time.time() - runtime_start
book.save()
# Log the yearbook run time to mixpanel
tracker.delay('Book Created', properties={
'distinct_id': user.username,
'mp_name_tag': user.username,
'time': time.time(),
'Book': 'Yearbook 2012',
'Run Time (sec)': '%.1f' % yb.run_time
})
# Initiate a task to start downloading user's yearbook phointos?
return book