def get_filtered_friends_timeline(request):
prof = request.user.get_profile()
tp = TwitterUserProfile.objects.get(user=prof)
twitter_tokens = request.session['twitter_tokens']
api = get_authorized_twython(twitter_tokens)
statuses = Status.construct_from_dicts(api.getFriendsTimeline())
predictions = get_predictions(tp, statuses)
filtered_statuses = []
for s, r in zip(statuses, predictions):
if r >= 0: filtered_statuses.append(s)
Rating.appendTo(statuses, tp)
return {'statuses': filtered_statuses, 'feedtype': 'filter'}
def cache_statuses(statuses, tp):
s_ids = [s.id for s in statuses]
s_cached = set([s.id for s in tp.cached_statuses.filter(id__in=s_ids)])
Status.savemany(statuses, is_cached=True)
usercache_statuses = []
for s in statuses:
if s.id in s_cached: continue
s_cached.add(s.id)
usercache_statuses.append(s)
predictions = get_predictions(tp, usercache_statuses)
CachedStatus.objects.create_in_bulk(tp, usercache_statuses, predictions)
def predicted_friends_timeline(request):
prof = request.user.get_profile()
tp = TwitterUserProfile.objects.get(user=prof)
twitter_tokens = request.session['twitter_tokens']
api = get_authorized_twython(twitter_tokens)
statuses = Status.construct_from_dicts(api.getFriendsTimeline())
friends = api.getFriendsStatus()
predictions = get_predictions(tp, statuses)
for s, r in zip(statuses, predictions):
if r >= 0:
s.likeClass = ' active'
s.dislikeClass = ' inactive'
if r < 0:
s.likeClass = ' inactive'
s.dislikeClass = ' active'
return {'statuses': statuses, 'friends': friends, 'feedtype': 'predict'}