NewsBlur/apps/social/models.py

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import datetime
import zlib
import hashlib
import redis
import re
import mongoengine as mongo
from collections import defaultdict
# from mongoengine.queryset import OperationError
from django.conf import settings
from django.contrib.auth.models import User
from django.contrib.sites.models import Site
from django.core.urlresolvers import reverse
from apps.reader.models import UserSubscription, MUserStory
from apps.analyzer.models import MClassifierFeed, MClassifierAuthor, MClassifierTag, MClassifierTitle
from apps.analyzer.models import apply_classifier_titles, apply_classifier_feeds, apply_classifier_authors, apply_classifier_tags
from apps.rss_feeds.models import Feed, MStory
from vendor import facebook
from vendor import tweepy
from utils import log as logging
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from utils.feed_functions import relative_timesince
from utils import json_functions as json
class MSocialProfile(mongo.Document):
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user_id = mongo.IntField(unique=True)
username = mongo.StringField(max_length=30, unique=True)
email = mongo.StringField()
bio = mongo.StringField(max_length=80)
blog_title = mongo.StringField(max_length=256)
custom_css = mongo.StringField()
photo_url = mongo.StringField()
photo_service = mongo.StringField()
location = mongo.StringField(max_length=40)
website = mongo.StringField(max_length=200)
subscription_count = mongo.IntField(default=0)
shared_stories_count = mongo.IntField(default=0)
following_count = mongo.IntField(default=0)
follower_count = mongo.IntField(default=0)
following_user_ids = mongo.ListField(mongo.IntField())
follower_user_ids = mongo.ListField(mongo.IntField())
unfollowed_user_ids = mongo.ListField(mongo.IntField())
popular_publishers = mongo.StringField()
stories_last_month = mongo.IntField(default=0)
average_stories_per_month = mongo.IntField(default=0)
story_count_history = mongo.ListField()
feed_classifier_counts = mongo.DictField()
favicon_color = mongo.StringField(max_length=6)
meta = {
'collection': 'social_profile',
'indexes': ['user_id', 'following_user_ids', 'follower_user_ids', 'unfollowed_user_ids'],
'allow_inheritance': False,
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'index_drop_dups': True,
}
def __unicode__(self):
return "%s [%s] following %s/%s, shared %s" % (self.username, self.user_id,
self.following_count, self.follower_count, self.shared_stories_count)
def save(self, *args, **kwargs):
if not self.username:
self.import_user_fields()
if not self.subscription_count:
self.count(skip_save=True)
if self.bio and len(self.bio) > MSocialProfile.bio.max_length:
self.bio = self.bio[:80]
super(MSocialProfile, self).save(*args, **kwargs)
if self.user_id not in self.following_user_ids:
self.follow_user(self.user_id)
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self.count()
def count_stories(self):
# Popular Publishers
self.save_popular_publishers()
def save_popular_publishers(self, feed_publishers=None):
if not feed_publishers:
publishers = defaultdict(int)
for story in MSharedStory.objects(user_id=self.user_id).only('story_feed_id')[:500]:
publishers[story.story_feed_id] += 1
feed_titles = dict((f.id, f.feed_title)
for f in Feed.objects.filter(pk__in=publishers.keys()).only('id', 'feed_title'))
feed_publishers = sorted([{'id': k, 'feed_title': feed_titles[k], 'story_count': v}
for k, v in publishers.items()],
key=lambda f: f['story_count'],
reverse=True)[:20]
popular_publishers = json.encode(feed_publishers)
if len(popular_publishers) < 1023:
self.popular_publishers = popular_publishers
self.save()
return
if len(popular_publishers) > 1:
self.save_popular_publishers(feed_publishers=feed_publishers[:-1])
@classmethod
def user_statistics(cls, user):
try:
profile = cls.objects.get(user_id=user.pk)
except cls.DoesNotExist:
return None
values = {
'followers': profile.follower_count,
'following': profile.following_count,
'shared_stories': profile.shared_stories_count,
}
return values
@classmethod
def profile(cls, user_id):
try:
profile = cls.objects.get(user_id=user_id)
except cls.DoesNotExist:
return {}
return profile.to_json(full=True)
@classmethod
def profiles(cls, user_ids):
profiles = cls.objects.filter(user_id__in=user_ids)
return profiles
@classmethod
def profile_feeds(cls, user_ids):
profiles = cls.objects.filter(user_id__in=user_ids, shared_stories_count__gte=1)
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profiles = dict((p.user_id, p.feed()) for p in profiles)
return profiles
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@classmethod
def sync_all_redis(cls):
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for profile in cls.objects.all():
profile.sync_redis()
def sync_redis(self):
for user_id in self.following_user_ids:
self.follow_user(user_id)
self.follow_user(self.user_id)
@property
def title(self):
return self.blog_title if self.blog_title else self.username + "'s blurblog"
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def feed(self):
params = self.to_json(compact=True)
params.update({
'feed_title': self.title,
'page_url': reverse('load-social-page', kwargs={'user_id': self.user_id, 'username': self.username})
})
return params
def page(self):
params = self.to_json(full=True)
params.update({
'feed_title': self.title,
'custom_css': self.custom_css,
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})
return params
def to_json(self, compact=False, full=False):
domain = Site.objects.get_current().domain
params = {
'id': 'social:%s' % self.user_id,
'user_id': self.user_id,
'username': self.username,
'photo_url': self.photo_url,
'num_subscribers': self.follower_count,
'feed_address': "http://%s%s" % (domain, reverse('shared-stories-rss-feed',
kwargs={'user_id': self.user_id, 'username': self.username})),
'feed_link': "http://%s%s" % (domain, reverse('load-social-page',
kwargs={'user_id': self.user_id, 'username': self.username})),
}
if not compact:
params.update({
'bio': self.bio,
'location': self.location,
'website': self.website,
'subscription_count': self.subscription_count,
'shared_stories_count': self.shared_stories_count,
'following_count': self.following_count,
'follower_count': self.follower_count,
'popular_publishers': json.decode(self.popular_publishers),
'stories_last_month': self.stories_last_month,
'average_stories_per_month': self.average_stories_per_month,
})
if full:
params.update({
'photo_service': self.photo_service,
'following_user_ids': self.following_user_ids,
'follower_user_ids': self.follower_user_ids,
})
return params
def import_user_fields(self, skip_save=False):
user = User.objects.get(pk=self.user_id)
self.username = user.username
self.email = user.email
def count(self, skip_save=False):
self.subscription_count = UserSubscription.objects.filter(user__pk=self.user_id).count()
self.shared_stories_count = MSharedStory.objects.filter(user_id=self.user_id).count()
self.following_count = len(self.following_user_ids)
self.follower_count = len(self.follower_user_ids)
if not skip_save:
self.save()
def follow_user(self, user_id, check_unfollowed=False):
r = redis.Redis(connection_pool=settings.REDIS_POOL)
if check_unfollowed and user_id in self.unfollowed_user_ids:
return
if user_id not in self.following_user_ids:
self.following_user_ids.append(user_id)
if user_id in self.unfollowed_user_ids:
self.unfollowed_user_ids.remove(user_id)
self.count()
self.save()
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if self.user_id == user_id:
followee = self
else:
followee, _ = MSocialProfile.objects.get_or_create(user_id=user_id)
if self.user_id not in followee.follower_user_ids:
followee.follower_user_ids.append(self.user_id)
followee.count()
followee.save()
following_key = "F:%s:F" % (self.user_id)
r.sadd(following_key, user_id)
follower_key = "F:%s:f" % (user_id)
r.sadd(follower_key, self.user_id)
MSocialSubscription.objects.get_or_create(user_id=self.user_id, subscription_user_id=user_id)
def is_following_user(self, user_id):
return user_id in self.following_user_ids
def unfollow_user(self, user_id):
r = redis.Redis(connection_pool=settings.REDIS_POOL)
if user_id == self.user_id:
# Only unfollow other people, not yourself.
return
if user_id in self.following_user_ids:
self.following_user_ids.remove(user_id)
if user_id not in self.unfollowed_user_ids:
self.unfollowed_user_ids.append(user_id)
self.count()
self.save()
followee = MSocialProfile.objects.get(user_id=user_id)
if self.user_id in followee.follower_user_ids:
followee.follower_user_ids.remove(self.user_id)
followee.count()
followee.save()
following_key = "F:%s:F" % (self.user_id)
r.srem(following_key, user_id)
follower_key = "F:%s:f" % (user_id)
r.srem(follower_key, self.user_id)
MSocialSubscription.objects.get(user_id=self.user_id, subscription_user_id=user_id).delete()
def common_follows(self, user_id, direction='followers'):
r = redis.Redis(connection_pool=settings.REDIS_POOL)
my_followers = "F:%s:%s" % (self.user_id, 'F' if direction == 'followers' else 'F')
their_followers = "F:%s:%s" % (user_id, 'f' if direction == 'followers' else 'F')
follows_inter = r.sinter(their_followers, my_followers)
follows_diff = r.sdiff(their_followers, my_followers)
follows_inter = [int(f) for f in follows_inter]
follows_diff = [int(f) for f in follows_diff]
return follows_inter, follows_diff
def save_feed_story_history_statistics(self):
"""
Fills in missing months between earlier occurances and now.
Save format: [('YYYY-MM, #), ...]
Example output: [(2010-12, 123), (2011-01, 146)]
"""
now = datetime.datetime.utcnow()
min_year = now.year
total = 0
month_count = 0
# Count stories, aggregate by year and month. Map Reduce!
map_f = """
function() {
var date = (this.shared_date.getFullYear()) + "-" + (this.shared_date.getMonth()+1);
emit(date, 1);
}
"""
reduce_f = """
function(key, values) {
var total = 0;
for (var i=0; i < values.length; i++) {
total += values[i];
}
return total;
}
"""
dates = {}
res = MSharedStory.objects(user_id=self.user_id).map_reduce(map_f, reduce_f, output='inline')
for r in res:
dates[r.key] = r.value
year = int(re.findall(r"(\d{4})-\d{1,2}", r.key)[0])
if year < min_year:
min_year = year
# Assemble a list with 0's filled in for missing months,
# trimming left and right 0's.
months = []
start = False
for year in range(min_year, now.year+1):
for month in range(1, 12+1):
if datetime.datetime(year, month, 1) < now:
key = u'%s-%s' % (year, month)
if dates.get(key) or start:
start = True
months.append((key, dates.get(key, 0)))
total += dates.get(key, 0)
month_count += 1
self.story_count_history = months
self.average_stories_per_month = total / month_count
self.save()
def save_classifier_counts(self):
def calculate_scores(cls, facet):
map_f = """
function() {
emit(this["%s"], {
pos: this.score>0 ? this.score : 0,
neg: this.score<0 ? Math.abs(this.score) : 0
});
}
""" % (facet)
reduce_f = """
function(key, values) {
var result = {pos: 0, neg: 0};
values.forEach(function(value) {
result.pos += value.pos;
result.neg += value.neg;
});
return result;
}
"""
scores = []
res = cls.objects(social_user_id=self.user_id).map_reduce(map_f, reduce_f, output='inline')
for r in res:
facet_values = dict([(k, int(v)) for k,v in r.value.iteritems()])
facet_values[facet] = r.key
scores.append(facet_values)
scores = sorted(scores, key=lambda v: v['neg'] - v['pos'])
return scores
scores = {}
for cls, facet in [(MClassifierTitle, 'title'),
(MClassifierAuthor, 'author'),
(MClassifierTag, 'tag'),
(MClassifierFeed, 'feed_id')]:
scores[facet] = calculate_scores(cls, facet)
if facet == 'feed_id' and scores[facet]:
scores['feed'] = scores[facet]
del scores['feed_id']
elif not scores[facet]:
del scores[facet]
if scores:
self.feed_classifier_counts = scores
self.save()
class MSocialSubscription(mongo.Document):
UNREAD_CUTOFF = datetime.datetime.utcnow() - datetime.timedelta(days=settings.DAYS_OF_UNREAD)
user_id = mongo.IntField()
subscription_user_id = mongo.IntField(unique_with='user_id')
last_read_date = mongo.DateTimeField(default=UNREAD_CUTOFF)
mark_read_date = mongo.DateTimeField(default=UNREAD_CUTOFF)
unread_count_neutral = mongo.IntField(default=0)
unread_count_positive = mongo.IntField(default=0)
unread_count_negative = mongo.IntField(default=0)
unread_count_updated = mongo.DateTimeField()
oldest_unread_story_date = mongo.DateTimeField()
needs_unread_recalc = mongo.BooleanField(default=False)
feed_opens = mongo.IntField(default=0)
is_trained = mongo.BooleanField(default=False)
meta = {
'collection': 'social_subscription',
'indexes': [('user_id', 'subscription_user_id')],
'allow_inheritance': False,
}
def __unicode__(self):
return "%s:%s" % (self.user_id, self.subscription_user_id)
@classmethod
def feeds(cls, *args, **kwargs):
user_id = kwargs['user_id']
params = dict(user_id=user_id)
if 'subscription_user_id' in kwargs:
params["subscription_user_id"] = kwargs["subscription_user_id"]
social_subs = cls.objects.filter(**params)
for sub in social_subs:
sub.calculate_feed_scores()
social_feeds = []
if social_subs:
social_subs = dict((s.subscription_user_id, s.to_json()) for s in social_subs)
social_user_ids = social_subs.keys()
# Fetch user profiles of subscriptions
social_profiles = MSocialProfile.profile_feeds(social_user_ids)
for user_id, social_sub in social_subs.items():
# Check if the social feed has any stories, otherwise they aren't active.
if user_id in social_profiles:
# Combine subscription read counts with feed/user info
feed = dict(social_sub.items() + social_profiles[user_id].items())
social_feeds.append(feed)
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return social_feeds
def to_json(self):
return {
'user_id': self.user_id,
'subscription_user_id': self.subscription_user_id,
'nt': self.unread_count_neutral,
'ps': self.unread_count_positive,
'ng': self.unread_count_negative,
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'is_trained': self.is_trained,
}
def mark_story_ids_as_read(self, story_ids, feed_id, request=None):
data = dict(code=0, payload=story_ids)
if not request:
request = self.user
if not self.needs_unread_recalc:
self.needs_unread_recalc = True
self.save()
sub_username = MSocialProfile.objects.get(user_id=self.subscription_user_id).username
if len(story_ids) > 1:
logging.user(request, "~FYRead %s stories in social subscription: %s" % (len(story_ids), sub_username))
else:
logging.user(request, "~FYRead story in social subscription: %s" % (sub_username))
for story_id in set(story_ids):
story = MSharedStory.objects.get(user_id=self.subscription_user_id, story_guid=story_id)
now = datetime.datetime.utcnow()
date = now if now > story.story_date else story.story_date # For handling future stories
m = MUserStory(user_id=self.user_id,
feed_id=feed_id, read_date=date,
story_id=story.story_guid, story_date=story.story_date)
m.save()
return data
def mark_feed_read(self):
latest_story_date = datetime.datetime.utcnow()
# Use the latest story to get last read time.
if MSharedStory.objects(user_id=self.subscription_user_id).first():
latest_story_date = MSharedStory.objects(user_id=self.subscription_user_id)\
.order_by('-shared_date').only('shared_date')[0]['shared_date']\
+ datetime.timedelta(seconds=1)
self.last_read_date = latest_story_date
self.mark_read_date = latest_story_date
self.unread_count_negative = 0
self.unread_count_positive = 0
self.unread_count_neutral = 0
self.unread_count_updated = latest_story_date
self.oldest_unread_story_date = latest_story_date
self.needs_unread_recalc = False
# Cannot delete these stories, since the original feed may not be read.
# Just go 2 weeks back.
# UNREAD_CUTOFF = now - datetime.timedelta(days=settings.DAYS_OF_UNREAD)
# MUserStory.delete_marked_as_read_stories(self.user_id, self.feed_id, mark_read_date=UNREAD_CUTOFF)
self.save()
def calculate_feed_scores(self, silent=False):
# if not self.needs_unread_recalc:
# return
now = datetime.datetime.now()
UNREAD_CUTOFF = now - datetime.timedelta(days=settings.DAYS_OF_UNREAD)
user = User.objects.get(pk=self.user_id)
if user.profile.last_seen_on < UNREAD_CUTOFF:
# if not silent:
# logging.info(' ---> [%s] SKIPPING Computing scores: %s (1 week+)' % (self.user, self.feed))
return
feed_scores = dict(negative=0, neutral=0, positive=0)
# Two weeks in age. If mark_read_date is older, mark old stories as read.
date_delta = UNREAD_CUTOFF
if date_delta < self.mark_read_date:
date_delta = self.mark_read_date
else:
self.mark_read_date = date_delta
stories_db = MSharedStory.objects(user_id=self.subscription_user_id,
shared_date__gte=date_delta)
story_feed_ids = []
story_ids = []
for s in stories_db:
story_feed_ids.append(s['story_feed_id'])
story_ids.append(s['story_guid'])
if not story_feed_ids: return
# usersubs = UserSubscription.objects.filter(user__pk=user.pk, feed__pk__in=story_feed_ids)
# usersubs_map = dict((sub.feed_id, sub) for sub in usersubs)
read_stories = MUserStory.objects(user_id=self.user_id,
feed_id__in=story_feed_ids,
story_id__in=story_ids)
read_stories_ids = [rs.story_id for rs in read_stories]
oldest_unread_story_date = now
unread_stories_db = []
for story in stories_db:
if (hasattr(story, 'story_guid') and
story.story_guid not in read_stories_ids):
unread_stories_db.append(story)
if story.story_date < oldest_unread_story_date:
oldest_unread_story_date = story.story_date
stories = Feed.format_stories(unread_stories_db)
classifier_feeds = list(MClassifierFeed.objects(user_id=self.user_id, social_user_id=self.subscription_user_id))
classifier_authors = list(MClassifierAuthor.objects(user_id=self.user_id, social_user_id=self.subscription_user_id))
classifier_titles = list(MClassifierTitle.objects(user_id=self.user_id, social_user_id=self.subscription_user_id))
classifier_tags = list(MClassifierTag.objects(user_id=self.user_id, social_user_id=self.subscription_user_id))
for story in stories:
scores = {
'feed' : apply_classifier_feeds(classifier_feeds, story['story_feed_id'],
social_user_id=self.subscription_user_id),
'author' : apply_classifier_authors(classifier_authors, story),
'tags' : apply_classifier_tags(classifier_tags, story),
'title' : apply_classifier_titles(classifier_titles, story),
}
max_score = max(scores['author'], scores['tags'], scores['title'])
min_score = min(scores['author'], scores['tags'], scores['title'])
if max_score > 0:
feed_scores['positive'] += 1
elif min_score < 0:
feed_scores['negative'] += 1
else:
if scores['feed'] > 0:
feed_scores['positive'] += 1
elif scores['feed'] < 0:
feed_scores['negative'] += 1
else:
feed_scores['neutral'] += 1
self.unread_count_positive = feed_scores['positive']
self.unread_count_neutral = feed_scores['neutral']
self.unread_count_negative = feed_scores['negative']
self.unread_count_updated = datetime.datetime.now()
self.oldest_unread_story_date = oldest_unread_story_date
self.needs_unread_recalc = False
self.save()
if (self.unread_count_positive == 0 and
self.unread_count_neutral == 0 and
self.unread_count_negative == 0):
self.mark_feed_read()
if not silent:
logging.info(' ---> [%s] Computing social scores: %s (%s/%s/%s)' % (user.username, self.subscription_user_id, feed_scores['negative'], feed_scores['neutral'], feed_scores['positive']))
return self
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class MSharedStory(mongo.Document):
user_id = mongo.IntField()
shared_date = mongo.DateTimeField()
comments = mongo.StringField()
has_comments = mongo.BooleanField(default=False)
story_feed_id = mongo.IntField()
story_date = mongo.DateTimeField()
story_title = mongo.StringField(max_length=1024)
story_content = mongo.StringField()
story_content_z = mongo.BinaryField()
story_original_content = mongo.StringField()
story_original_content_z = mongo.BinaryField()
story_content_type = mongo.StringField(max_length=255)
story_author_name = mongo.StringField()
story_permalink = mongo.StringField()
story_guid = mongo.StringField(unique_with=('user_id',))
story_tags = mongo.ListField(mongo.StringField(max_length=250))
meta = {
'collection': 'shared_stories',
'indexes': [('user_id', '-shared_date'), ('user_id', 'story_feed_id'), 'shared_date', 'story_guid', 'story_feed_id'],
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'index_drop_dups': True,
'ordering': ['-shared_date'],
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'allow_inheritance': False,
}
@property
def guid_hash(self):
return hashlib.sha1(self.story_guid).hexdigest()
def save(self, *args, **kwargs):
if self.story_content:
self.story_content_z = zlib.compress(self.story_content)
self.story_content = None
if self.story_original_content:
self.story_original_content_z = zlib.compress(self.story_original_content)
self.story_original_content = None
r = redis.Redis(connection_pool=settings.REDIS_POOL)
share_key = "S:%s:%s" % (self.story_feed_id, self.guid_hash)
r.sadd(share_key, self.user_id)
comment_key = "C:%s:%s" % (self.story_feed_id, self.guid_hash)
if self.has_comments:
r.sadd(comment_key, self.user_id)
else:
r.srem(comment_key, self.user_id)
self.shared_date = datetime.datetime.utcnow()
super(MSharedStory, self).save(*args, **kwargs)
author, _ = MSocialProfile.objects.get_or_create(user_id=self.user_id)
author.count()
def delete(self, *args, **kwargs):
r = redis.Redis(connection_pool=settings.REDIS_POOL)
share_key = "S:%s:%s" % (self.story_feed_id, self.guid_hash)
r.srem(share_key, self.user_id)
super(MSharedStory, self).delete(*args, **kwargs)
@classmethod
def count_popular_stories(cls, verbose=True):
popular_profile = MSocialProfile.objects.get(username='popular')
popular_user = User.objects.get(pk=popular_profile.user_id)
shared_story = cls.objects.all().order_by('-shared_date')[0] # TODO: Get actual popular stories.
story = MStory.objects(story_feed_id=shared_story.story_feed_id, story_guid=shared_story.story_guid).limit(1).first()
if not story:
logging.user(popular_user, "~FRPopular stories: story not found")
return
story_db = dict([(k, v) for k, v in story._data.items()
if k is not None and v is not None])
story_values = dict(user_id=popular_profile.user_id,
has_comments=False, **story_db)
MSharedStory.objects.create(**story_values)
if verbose:
shares = cls.objects.filter(story_guid=story.story_guid).count()
logging.user(popular_user, "~FCSharing: ~SB~FM%s (%s shares)" % (story.story_title[:50], shares))
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@classmethod
def sync_all_redis(cls):
r = redis.Redis(connection_pool=settings.REDIS_POOL)
for story in cls.objects.all():
story.sync_redis(redis_conn=r)
def sync_redis(self, redis_conn=None):
if not redis_conn:
redis_conn = redis.Redis(connection_pool=settings.REDIS_POOL)
share_key = "S:%s:%s" % (self.story_feed_id, self.guid_hash)
comment_key = "C:%s:%s" % (self.story_feed_id, self.guid_hash)
redis_conn.sadd(share_key, self.user_id)
if self.has_comments:
redis_conn.sadd(comment_key, self.user_id)
else:
redis_conn.srem(comment_key, self.user_id)
def comments_with_author(self):
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comments = {
'user_id': self.user_id,
'comments': self.comments,
'shared_date': relative_timesince(self.shared_date),
}
return comments
@classmethod
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def stories_with_comments_and_profiles(cls, stories, user, check_all=False):
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r = redis.Redis(connection_pool=settings.REDIS_POOL)
friend_key = "F:%s:F" % (user.pk)
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profile_user_ids = set()
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for story in stories:
if check_all or story['comment_count']:
comment_key = "C:%s:%s" % (story['story_feed_id'], story['guid_hash'])
if check_all:
story['comment_count'] = r.scard(comment_key)
friends_with_comments = r.sinter(comment_key, friend_key)
shared_stories = []
if friends_with_comments:
params = {
'story_guid': story['id'],
'story_feed_id': story['story_feed_id'],
'user_id__in': friends_with_comments,
}
shared_stories = cls.objects.filter(**params)
story['comments'] = []
for shared_story in shared_stories:
story['comments'].append(shared_story.comments_with_author())
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story['comment_count_public'] = story['comment_count'] - len(shared_stories)
story['comment_count_friends'] = len(shared_stories)
if check_all or story['share_count']:
share_key = "S:%s:%s" % (story['story_feed_id'], story['guid_hash'])
if check_all:
story['share_count'] = r.scard(share_key)
friends_with_shares = [int(f) for f in r.sinter(share_key, friend_key)]
nonfriend_user_ids = [int(f) for f in r.sdiff(share_key, friend_key)]
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profile_user_ids.update(nonfriend_user_ids)
profile_user_ids.update(friends_with_shares)
story['shared_by_public'] = nonfriend_user_ids
story['shared_by_friends'] = friends_with_shares
story['share_count_public'] = story['share_count'] - len(friends_with_shares)
story['share_count_friends'] = len(friends_with_shares)
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profiles = MSocialProfile.objects.filter(user_id__in=list(profile_user_ids))
profiles = [profile.to_json(compact=True) for profile in profiles]
return stories, profiles
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class MSocialServices(mongo.Document):
user_id = mongo.IntField()
autofollow = mongo.BooleanField(default=True)
twitter_uid = mongo.StringField()
twitter_access_key = mongo.StringField()
twitter_access_secret = mongo.StringField()
twitter_friend_ids = mongo.ListField(mongo.StringField())
twitter_picture_url = mongo.StringField()
twitter_username = mongo.StringField()
twitter_refresh_date = mongo.DateTimeField()
facebook_uid = mongo.StringField()
facebook_access_token = mongo.StringField()
facebook_friend_ids = mongo.ListField(mongo.StringField())
facebook_picture_url = mongo.StringField()
facebook_refresh_date = mongo.DateTimeField()
upload_picture_url = mongo.StringField()
meta = {
'collection': 'social_services',
'indexes': ['user_id', 'twitter_friend_ids', 'facebook_friend_ids', 'twitter_uid', 'facebook_uid'],
'allow_inheritance': False,
}
def __unicode__(self):
user = User.objects.get(pk=self.user_id)
return "%s (Twitter: %s, FB: %s)" % (user.username, self.twitter_uid, self.facebook_uid)
def to_json(self):
user = User.objects.get(pk=self.user_id)
return {
'twitter': {
'twitter_username': self.twitter_username,
'twitter_picture_url': self.twitter_picture_url,
'twitter_uid': self.twitter_uid,
},
'facebook': {
'facebook_uid': self.facebook_uid,
'facebook_picture_url': self.facebook_picture_url,
},
'gravatar': {
'gravatar_picture_url': "http://www.gravatar.com/avatar/" + \
hashlib.md5(user.email).hexdigest()
},
'upload': {
'upload_picture_url': self.upload_picture_url
}
}
def twitter_api(self):
twitter_consumer_key = settings.TWITTER_CONSUMER_KEY
twitter_consumer_secret = settings.TWITTER_CONSUMER_SECRET
auth = tweepy.OAuthHandler(twitter_consumer_key, twitter_consumer_secret)
auth.set_access_token(self.twitter_access_key, self.twitter_access_secret)
api = tweepy.API(auth)
return api
def facebook_api(self):
graph = facebook.GraphAPI(self.facebook_access_token)
return graph
def sync_twitter_friends(self):
api = self.twitter_api()
if not api:
return
friend_ids = list(unicode(friend.id) for friend in tweepy.Cursor(api.friends).items())
if not friend_ids:
return
twitter_user = api.me()
self.twitter_picture_url = twitter_user.profile_image_url
self.twitter_username = twitter_user.screen_name
self.twitter_friend_ids = friend_ids
self.twitter_refreshed_date = datetime.datetime.utcnow()
self.save()
self.follow_twitter_friends()
profile, _ = MSocialProfile.objects.get_or_create(user_id=self.user_id)
profile.location = profile.location or twitter_user.location
profile.bio = profile.bio or twitter_user.description
profile.website = profile.website or twitter_user.url
profile.save()
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profile.count()
if not profile.photo_url or not profile.photo_service:
self.set_photo('twitter')
def sync_facebook_friends(self):
graph = self.facebook_api()
if not graph:
return
friends = graph.get_connections("me", "friends")
if not friends:
return
facebook_friend_ids = [unicode(friend["id"]) for friend in friends["data"]]
self.facebook_friend_ids = facebook_friend_ids
self.facebook_refresh_date = datetime.datetime.utcnow()
self.facebook_picture_url = "//graph.facebook.com/%s/picture" % self.facebook_uid
self.save()
self.follow_facebook_friends()
facebook_user = graph.request('me', args={'fields':'website,bio,location'})
profile, _ = MSocialProfile.objects.get_or_create(user_id=self.user_id)
profile.location = profile.location or (facebook_user.get('location') and facebook_user['location']['name'])
profile.bio = profile.bio or facebook_user.get('bio')
profile.website = profile.website or facebook_user.get('website')
profile.save()
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profile.count()
if not profile.photo_url or not profile.photo_service:
self.set_photo('facebook')
def follow_twitter_friends(self):
social_profile, _ = MSocialProfile.objects.get_or_create(user_id=self.user_id)
following = []
followers = 0
if self.autofollow:
# Follow any friends already on NewsBlur
user_social_services = MSocialServices.objects.filter(twitter_uid__in=self.twitter_friend_ids)
for user_social_service in user_social_services:
followee_user_id = user_social_service.user_id
social_profile.follow_user(followee_user_id)
following.append(followee_user_id)
# Follow any friends already on NewsBlur
following_users = MSocialServices.objects.filter(twitter_friend_ids__contains=self.twitter_uid)
for following_user in following_users:
if following_user.autofollow:
following_user_profile = MSocialProfile.objects.get(user_id=following_user.user_id)
following_user_profile.follow_user(self.user_id, check_unfollowed=True)
followers += 1
user = User.objects.get(pk=self.user_id)
logging.user(user, "~BB~FRTwitter import: following ~SB%s~SN with ~SB%s~SN follower-backs" % (following, followers))
return following
def follow_facebook_friends(self):
social_profile, _ = MSocialProfile.objects.get_or_create(user_id=self.user_id)
following = []
followers = 0
if self.autofollow:
# Follow any friends already on NewsBlur
user_social_services = MSocialServices.objects.filter(facebook_uid__in=self.facebook_friend_ids)
for user_social_service in user_social_services:
followee_user_id = user_social_service.user_id
social_profile.follow_user(followee_user_id)
following.append(followee_user_id)
# Friends already on NewsBlur should follow back
following_users = MSocialServices.objects.filter(facebook_friend_ids__contains=self.facebook_uid)
for following_user in following_users:
if following_user.autofollow:
following_user_profile = MSocialProfile.objects.get(user_id=following_user.user_id)
following_user_profile.follow_user(self.user_id, check_unfollowed=True)
followers += 1
user = User.objects.get(pk=self.user_id)
logging.user(user, "~BB~FRFacebook import: following ~SB%s~SN with ~SB%s~SN follower-backs" % (len(following), followers))
return following
def disconnect_twitter(self):
self.twitter_uid = None
self.save()
def disconnect_facebook(self):
self.facebook_uid = None
self.save()
def set_photo(self, service):
profile, _ = MSocialProfile.objects.get_or_create(user_id=self.user_id)
profile.photo_service = service
if service == 'twitter':
profile.photo_url = self.twitter_picture_url
elif service == 'facebook':
profile.photo_url = self.facebook_picture_url
elif service == 'upload':
profile.photo_url = self.upload_picture_url
elif service == 'gravatar':
user = User.objects.get(pk=self.user_id)
profile.photo_url = "http://www.gravatar.com/avatar/" + \
hashlib.md5(user.email).hexdigest()
profile.save()