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import difflib
import requests
import datetime
import time
import random
import re
import math
import mongoengine as mongo
import zlib
import hashlib
import redis
import pymongo
import HTMLParser
import urlparse
from collections import defaultdict
from operator import itemgetter
from bson.objectid import ObjectId
from BeautifulSoup import BeautifulSoup
from pyes.exceptions import NotFoundException
# from nltk.collocations import TrigramCollocationFinder, BigramCollocationFinder, TrigramAssocMeasures, BigramAssocMeasures
from django.db import models
from django.db import IntegrityError
from django.conf import settings
from django.db.models.query import QuerySet
from django.db.utils import DatabaseError
from django.core.urlresolvers import reverse
from django.contrib.auth.models import User
from django.contrib.sites.models import Site
from django.template.defaultfilters import slugify
from django.utils.encoding import smart_str, smart_unicode
from mongoengine.queryset import OperationError, Q, NotUniqueError
from mongoengine.base import ValidationError
from vendor.timezones.utilities import localtime_for_timezone
from apps.rss_feeds.tasks import UpdateFeeds, PushFeeds, ScheduleCountTagsForUser
from apps.rss_feeds.text_importer import TextImporter
from apps.search.models import SearchStory, SearchFeed
from apps.statistics.rstats import RStats
from utils import json_functions as json
from utils import feedfinder2 as feedfinder
from utils import urlnorm
from utils import log as logging
from utils.fields import AutoOneToOneField
from utils.feed_functions import levenshtein_distance
from utils.feed_functions import timelimit, TimeoutError
from utils.feed_functions import relative_timesince
from utils.feed_functions import seconds_timesince
from utils.story_functions import strip_tags, htmldiff, strip_comments, strip_comments__lxml
from utils.story_functions import prep_for_search
ENTRY_NEW, ENTRY_UPDATED, ENTRY_SAME, ENTRY_ERR = range(4)
class Feed(models.Model):
feed_address = models.URLField(max_length=764, db_index=True)
feed_address_locked = models.NullBooleanField(default=False, blank=True, null=True)
feed_link = models.URLField(max_length=1000, default="", blank=True, null=True)
feed_link_locked = models.BooleanField(default=False)
hash_address_and_link = models.CharField(max_length=64, unique=True)
feed_title = models.CharField(max_length=255, default="[Untitled]", blank=True, null=True)
is_push = models.NullBooleanField(default=False, blank=True, null=True)
active = models.BooleanField(default=True, db_index=True)
num_subscribers = models.IntegerField(default=-1)
active_subscribers = models.IntegerField(default=-1, db_index=True)
premium_subscribers = models.IntegerField(default=-1)
active_premium_subscribers = models.IntegerField(default=-1)
branch_from_feed = models.ForeignKey('Feed', blank=True, null=True, db_index=True)
last_update = models.DateTimeField(db_index=True)
next_scheduled_update = models.DateTimeField()
last_story_date = models.DateTimeField(null=True, blank=True)
fetched_once = models.BooleanField(default=False)
known_good = models.BooleanField(default=False)
has_feed_exception = models.BooleanField(default=False, db_index=True)
has_page_exception = models.BooleanField(default=False, db_index=True)
has_page = models.BooleanField(default=True)
exception_code = models.IntegerField(default=0)
errors_since_good = models.IntegerField(default=0)
min_to_decay = models.IntegerField(default=0)
days_to_trim = models.IntegerField(default=90)
creation = models.DateField(auto_now_add=True)
etag = models.CharField(max_length=255, blank=True, null=True)
last_modified = models.DateTimeField(null=True, blank=True)
stories_last_month = models.IntegerField(default=0)
average_stories_per_month = models.IntegerField(default=0)
last_load_time = models.IntegerField(default=0)
favicon_color = models.CharField(max_length=6, null=True, blank=True)
favicon_not_found = models.BooleanField(default=False)
s3_page = models.NullBooleanField(default=False, blank=True, null=True)
s3_icon = models.NullBooleanField(default=False, blank=True, null=True)
search_indexed = models.NullBooleanField(default=None, null=True, blank=True)
class Meta:
db_table="feeds"
ordering=["feed_title"]
# unique_together=[('feed_address', 'feed_link')]
def __unicode__(self):
if not self.feed_title:
self.feed_title = "[Untitled]"
self.save()
return "%s%s: %s - %s/%s/%s" % (
self.pk,
(" [B: %s]" % self.branch_from_feed.pk if self.branch_from_feed else ""),
self.feed_title,
self.num_subscribers,
self.active_subscribers,
self.active_premium_subscribers,
)
@property
def title(self):
title = self.feed_title or "[Untitled]"
if self.active_premium_subscribers >= 1:
title = "%s*" % title[:29]
return title
@property
def log_title(self):
return self.__unicode__()
@property
def permalink(self):
return "%s/site/%s/%s" % (settings.NEWSBLUR_URL, self.pk, slugify(self.feed_title.lower()[:50]))
@property
def favicon_url(self):
if settings.BACKED_BY_AWS['icons_on_s3'] and self.s3_icon:
return "https://s3.amazonaws.com/%s/%s.png" % (settings.S3_ICONS_BUCKET_NAME, self.pk)
return reverse('feed-favicon', kwargs={'feed_id': self.pk})
@property
def favicon_url_fqdn(self):
if settings.BACKED_BY_AWS['icons_on_s3'] and self.s3_icon:
return self.favicon_url
return "http://%s%s" % (
Site.objects.get_current().domain,
self.favicon_url
)
@property
def s3_pages_key(self):
return "%s.gz.html" % self.pk
@property
def s3_icons_key(self):
return "%s.png" % self.pk
@property
def unread_cutoff(self):
if self.active_premium_subscribers > 0:
return datetime.datetime.utcnow() - datetime.timedelta(days=settings.DAYS_OF_UNREAD)
return datetime.datetime.utcnow() - datetime.timedelta(days=settings.DAYS_OF_UNREAD_FREE)
@property
def story_hashes_in_unread_cutoff(self):
r = redis.Redis(connection_pool=settings.REDIS_STORY_HASH_POOL)
current_time = int(time.time() + 60*60*24)
unread_cutoff = self.unread_cutoff.strftime('%s')
print " ---> zrevrangebyscore zF:%s %s %s" % (self.pk, current_time, unread_cutoff)
story_hashes = r.zrevrangebyscore('zF:%s' % self.pk, current_time, unread_cutoff)
return story_hashes
@classmethod
def generate_hash_address_and_link(cls, feed_address, feed_link):
if not feed_address: feed_address = ""
if not feed_link: feed_link = ""
return hashlib.sha1(feed_address+feed_link).hexdigest()
@property
def is_newsletter(self):
return self.feed_address.startswith('newsletter:')
def canonical(self, full=False, include_favicon=True):
feed = {
'id': self.pk,
'feed_title': self.feed_title,
'feed_address': self.feed_address,
'feed_link': self.feed_link,
'num_subscribers': self.num_subscribers,
'updated': relative_timesince(self.last_update),
'updated_seconds_ago': seconds_timesince(self.last_update),
'last_story_date': self.last_story_date,
'last_story_seconds_ago': seconds_timesince(self.last_story_date),
'stories_last_month': self.stories_last_month,
'average_stories_per_month': self.average_stories_per_month,
'min_to_decay': self.min_to_decay,
'subs': self.num_subscribers,
'is_push': self.is_push,
'is_newsletter': self.is_newsletter,
'fetched_once': self.fetched_once,
'search_indexed': self.search_indexed,
'not_yet_fetched': not self.fetched_once, # Legacy. Doh.
'favicon_color': self.favicon_color,
'favicon_fade': self.favicon_fade(),
'favicon_border': self.favicon_border(),
'favicon_text_color': self.favicon_text_color(),
'favicon_fetching': self.favicon_fetching,
'favicon_url': self.favicon_url,
's3_page': self.s3_page,
's3_icon': self.s3_icon,
}
if include_favicon:
try:
feed_icon = MFeedIcon.objects.get(feed_id=self.pk)
feed['favicon'] = feed_icon.data
except MFeedIcon.DoesNotExist:
pass
if self.has_page_exception or self.has_feed_exception:
feed['has_exception'] = True
feed['exception_type'] = 'feed' if self.has_feed_exception else 'page'
feed['exception_code'] = self.exception_code
elif full:
feed['has_exception'] = False
feed['exception_type'] = None
feed['exception_code'] = self.exception_code
if not self.has_page:
feed['disabled_page'] = True
if full:
feed['average_stories_per_month'] = self.average_stories_per_month
feed['tagline'] = self.data.feed_tagline
feed['feed_tags'] = json.decode(self.data.popular_tags) if self.data.popular_tags else []
feed['feed_authors'] = json.decode(self.data.popular_authors) if self.data.popular_authors else []
return feed
def save(self, *args, **kwargs):
if not self.last_update:
self.last_update = datetime.datetime.utcnow()
if not self.next_scheduled_update:
self.next_scheduled_update = datetime.datetime.utcnow()
self.fix_google_alerts_urls()
feed_address = self.feed_address or ""
feed_link = self.feed_link or ""
self.hash_address_and_link = self.generate_hash_address_and_link(feed_address, feed_link)
max_feed_title = Feed._meta.get_field('feed_title').max_length
if len(self.feed_title) > max_feed_title:
self.feed_title = self.feed_title[:max_feed_title]
max_feed_address = Feed._meta.get_field('feed_address').max_length
if len(feed_address) > max_feed_address:
self.feed_address = feed_address[:max_feed_address]
max_feed_link = Feed._meta.get_field('feed_link').max_length
if len(feed_link) > max_feed_link:
self.feed_link = feed_link[:max_feed_link]
try:
super(Feed, self).save(*args, **kwargs)
except IntegrityError, e:
logging.debug(" ---> ~FRFeed save collision (%s), checking dupe hash..." % e)
feed_address = self.feed_address or ""
feed_link = self.feed_link or ""
hash_address_and_link = self.generate_hash_address_and_link(feed_address, feed_link)
logging.debug(" ---> ~FRNo dupes, checking hash collision: %s" % hash_address_and_link)
duplicate_feeds = Feed.objects.filter(hash_address_and_link=hash_address_and_link)
if not duplicate_feeds:
duplicate_feeds = Feed.objects.filter(feed_address=self.feed_address,
feed_link=self.feed_link)
if not duplicate_feeds:
# Feed has been deleted. Just ignore it.
logging.debug(" ***> Changed to: %s - %s: %s" % (self.feed_address, self.feed_link, duplicate_feeds))
logging.debug(' ***> [%-30s] Feed deleted (%s).' % (self.log_title[:30], self.pk))
return
for duplicate_feed in duplicate_feeds:
if duplicate_feed.pk != self.pk:
logging.debug(" ---> ~FRFound different feed (%s), merging %s in..." % (duplicate_feeds[0], self.pk))
feed = Feed.get_by_id(merge_feeds(duplicate_feeds[0].pk, self.pk))
return feed
else:
logging.debug(" ---> ~FRFeed is its own dupe? %s == %s" % (self, duplicate_feeds))
except DatabaseError, e:
logging.debug(" ---> ~FBFeed update failed, no change: %s / %s..." % (kwargs.get('update_fields', None), e))
pass
return self
@classmethod
def index_all_for_search(cls, offset=0, subscribers=2):
if not offset:
SearchFeed.create_elasticsearch_mapping(delete=True)
last_pk = cls.objects.latest('pk').pk
for f in xrange(offset, last_pk, 1000):
print " ---> %s / %s (%.2s%%)" % (f, last_pk, float(f)/last_pk*100)
feeds = Feed.objects.filter(pk__in=range(f, f+1000),
active=True,
active_subscribers__gte=subscribers)\
.values_list('pk')
for feed_id, in feeds:
Feed.objects.get(pk=feed_id).index_feed_for_search()
def index_feed_for_search(self):
if self.num_subscribers > 1 and not self.branch_from_feed and not self.is_newsletter:
SearchFeed.index(feed_id=self.pk,
title=self.feed_title,
address=self.feed_address,
link=self.feed_link,
num_subscribers=self.num_subscribers)
def index_stories_for_search(self):
if self.search_indexed: return
self.search_indexed = True
self.save()
stories = MStory.objects(story_feed_id=self.pk)
for story in stories:
story.index_story_for_search()
def sync_redis(self):
return MStory.sync_feed_redis(self.pk)
def expire_redis(self, r=None):
if not r:
r = redis.Redis(connection_pool=settings.REDIS_STORY_HASH_POOL)
# if not r2:
# r2 = redis.Redis(connection_pool=settings.REDIS_STORY_HASH_POOL2)
r.expire('F:%s' % self.pk, settings.DAYS_OF_STORY_HASHES*24*60*60)
# r2.expire('F:%s' % self.pk, settings.DAYS_OF_STORY_HASHES*24*60*60)
r.expire('zF:%s' % self.pk, settings.DAYS_OF_STORY_HASHES*24*60*60)
# r2.expire('zF:%s' % self.pk, settings.DAYS_OF_STORY_HASHES*24*60*60)
@classmethod
def low_volume_feeds(cls, feed_ids, stories_per_month=30):
try:
stories_per_month = int(stories_per_month)
except ValueError:
stories_per_month = 30
feeds = Feed.objects.filter(pk__in=feed_ids, average_stories_per_month__lte=stories_per_month).only('pk')
return [f.pk for f in feeds]
@classmethod
def autocomplete(self, prefix, limit=5):
results = SearchFeed.query(prefix)
feed_ids = [result.feed_id for result in results[:5]]
# results = SearchQuerySet().autocomplete(address=prefix).order_by('-num_subscribers')[:limit]
#
# if len(results) < limit:
# results += SearchQuerySet().autocomplete(title=prefix).order_by('-num_subscribers')[:limit-len(results)]
#
return feed_ids
@classmethod
def find_or_create(cls, feed_address, feed_link, *args, **kwargs):
feeds = cls.objects.filter(feed_address=feed_address, feed_link=feed_link)
if feeds:
return feeds[0], False
if feed_link and feed_link.endswith('/'):
feeds = cls.objects.filter(feed_address=feed_address, feed_link=feed_link[:-1])
if feeds:
return feeds[0], False
return cls.objects.get_or_create(feed_address=feed_address, feed_link=feed_link, *args, **kwargs)
@classmethod
def merge_feeds(cls, *args, **kwargs):
return merge_feeds(*args, **kwargs)
def fix_google_alerts_urls(self):
if (self.feed_address.startswith('http://user/') and
'/state/com.google/alerts/' in self.feed_address):
match = re.match(r"http://user/(\d+)/state/com.google/alerts/(\d+)", self.feed_address)
if match:
user_id, alert_id = match.groups()
self.feed_address = "http://www.google.com/alerts/feeds/%s/%s" % (user_id, alert_id)
@classmethod
def schedule_feed_fetches_immediately(cls, feed_ids, user_id=None):
if settings.DEBUG:
logging.info(" ---> ~SN~FMSkipping the scheduling immediate fetch of ~SB%s~SN feeds (in DEBUG)..." %
len(feed_ids))
return
if user_id:
user = User.objects.get(pk=user_id)
logging.user(user, "~SN~FMScheduling immediate fetch of ~SB%s~SN feeds..." %
len(feed_ids))
else:
logging.debug(" ---> ~SN~FMScheduling immediate fetch of ~SB%s~SN feeds..." %
len(feed_ids))
if len(feed_ids) > 100:
logging.debug(" ---> ~SN~FMFeeds scheduled: %s" % feed_ids)
day_ago = datetime.datetime.now() - datetime.timedelta(days=1)
feeds = Feed.objects.filter(pk__in=feed_ids)
for feed in feeds:
if feed.active_subscribers <= 0:
feed.count_subscribers()
if not feed.active or feed.next_scheduled_update < day_ago:
feed.schedule_feed_fetch_immediately(verbose=False)
@property
def favicon_fetching(self):
return bool(not (self.favicon_not_found or self.favicon_color))
@classmethod
def get_feed_from_url(cls, url, create=True, aggressive=False, fetch=True, offset=0, user=None):
feed = None
without_rss = False
original_url = url
if url and url.startswith('newsletter:'):
return cls.objects.get(feed_address=url)
if url and re.match('(https?://)?twitter.com/\w+/?$', url):
without_rss = True
if url and re.match(r'(https?://)?(www\.)?facebook.com/\w+/?$', url):
without_rss = True
if url and 'youtube.com/user/' in url:
username = re.search('youtube.com/user/(\w+)', url).group(1)
url = "http://gdata.youtube.com/feeds/base/users/%s/uploads" % username
without_rss = True
if url and 'youtube.com/channel/' in url:
channel_id = re.search('youtube.com/channel/([-_\w]+)', url).group(1)
url = "https://www.youtube.com/feeds/videos.xml?channel_id=%s" % channel_id
without_rss = True
if url and 'youtube.com/feeds' in url:
without_rss = True
if url and 'youtube.com/playlist' in url:
without_rss = True
def criteria(key, value):
if aggressive:
return {'%s__icontains' % key: value}
else:
return {'%s' % key: value}
def by_url(address):
feed = cls.objects.filter(
branch_from_feed=None
).filter(**criteria('feed_address', address)).order_by('-num_subscribers')
if not feed:
duplicate_feed = DuplicateFeed.objects.filter(**criteria('duplicate_address', address))
if duplicate_feed and len(duplicate_feed) > offset:
feed = [duplicate_feed[offset].feed]
if not feed and aggressive:
feed = cls.objects.filter(
branch_from_feed=None
).filter(**criteria('feed_link', address)).order_by('-num_subscribers')
return feed
@timelimit(10)
def _feedfinder(url):
found_feed_urls = feedfinder.find_feeds(url)
return found_feed_urls
# Normalize and check for feed_address, dupes, and feed_link
url = urlnorm.normalize(url)
if not url:
return
feed = by_url(url)
found_feed_urls = []
# Create if it looks good
if feed and len(feed) > offset:
feed = feed[offset]
else:
try:
found_feed_urls = _feedfinder(url)
except TimeoutError:
logging.debug(' ---> Feed finder timed out...')
found_feed_urls = []
if len(found_feed_urls):
feed_finder_url = found_feed_urls[0]
logging.debug(" ---> Found feed URLs for %s: %s" % (url, found_feed_urls))
feed = by_url(feed_finder_url)
if feed and len(feed) > offset:
feed = feed[offset]
logging.debug(" ---> Feed exists (%s), updating..." % (feed))
feed = feed.update()
elif create:
logging.debug(" ---> Feed doesn't exist, creating: %s" % (feed_finder_url))
feed = cls.objects.create(feed_address=feed_finder_url)
feed = feed.update()
elif without_rss:
logging.debug(" ---> Found without_rss feed: %s / %s" % (url, original_url))
feed = cls.objects.create(feed_address=url, feed_link=original_url)
feed = feed.update(requesting_user_id=user.pk if user else None)
# Check for JSON feed
if not feed and fetch and create:
try:
r = requests.get(url)
except (requests.ConnectionError, requests.models.InvalidURL):
r = None
if r and 'application/json' in r.headers.get('Content-Type'):
feed = cls.objects.create(feed_address=url)
feed = feed.update()
# Still nothing? Maybe the URL has some clues.
if not feed and fetch and len(found_feed_urls):
feed_finder_url = found_feed_urls[0]
feed = by_url(feed_finder_url)
if not feed and create:
feed = cls.objects.create(feed_address=feed_finder_url)
feed = feed.update()
elif feed and len(feed) > offset:
feed = feed[offset]
# Not created and not within bounds, so toss results.
if isinstance(feed, QuerySet):
return
return feed
@classmethod
def task_feeds(cls, feeds, queue_size=12, verbose=True):
if not feeds: return
r = redis.Redis(connection_pool=settings.REDIS_FEED_UPDATE_POOL)
if isinstance(feeds, Feed):
if verbose:
logging.debug(" ---> ~SN~FBTasking feed: ~SB%s" % feeds)
feeds = [feeds.pk]
elif verbose:
logging.debug(" ---> ~SN~FBTasking ~SB~FC%s~FB~SN feeds..." % len(feeds))
if isinstance(feeds, QuerySet):
feeds = [f.pk for f in feeds]
r.srem('queued_feeds', *feeds)
now = datetime.datetime.now().strftime("%s")
p = r.pipeline()
for feed_id in feeds:
p.zadd('tasked_feeds', feed_id, now)
p.execute()
# for feed_ids in (feeds[pos:pos + queue_size] for pos in xrange(0, len(feeds), queue_size)):
for feed_id in feeds:
UpdateFeeds.apply_async(args=(feed_id,), queue='update_feeds')
@classmethod
def drain_task_feeds(cls):
r = redis.Redis(connection_pool=settings.REDIS_FEED_UPDATE_POOL)
tasked_feeds = r.zrange('tasked_feeds', 0, -1)
logging.debug(" ---> ~FRDraining %s tasked feeds..." % len(tasked_feeds))
r.sadd('queued_feeds', *tasked_feeds)
r.zremrangebyrank('tasked_feeds', 0, -1)
errored_feeds = r.zrange('error_feeds', 0, -1)
logging.debug(" ---> ~FRDraining %s errored feeds..." % len(errored_feeds))
r.sadd('queued_feeds', *errored_feeds)
r.zremrangebyrank('error_feeds', 0, -1)
def update_all_statistics(self, has_new_stories=False, force=False):
recount = not self.counts_converted_to_redis
count_extra = False
if random.random() < 0.01 or not self.data.popular_tags or not self.data.popular_authors:
count_extra = True
self.count_subscribers(recount=recount)
self.calculate_last_story_date()
if force or has_new_stories or count_extra:
self.save_feed_stories_last_month()
if force or (has_new_stories and count_extra):
self.save_popular_authors()
self.save_popular_tags()
self.save_feed_story_history_statistics()
def calculate_last_story_date(self):
last_story_date = None
try:
latest_story = MStory.objects(
story_feed_id=self.pk
).limit(1).order_by('-story_date').only('story_date').first()
if latest_story:
last_story_date = latest_story.story_date
except MStory.DoesNotExist:
pass
if not last_story_date or seconds_timesince(last_story_date) < 0:
last_story_date = datetime.datetime.now()
if last_story_date != self.last_story_date:
self.last_story_date = last_story_date
self.save(update_fields=['last_story_date'])
@classmethod
def setup_feeds_for_premium_subscribers(cls, feed_ids):
logging.info(" ---> ~SN~FMScheduling immediate premium setup of ~SB%s~SN feeds..." %
len(feed_ids))
feeds = Feed.objects.filter(pk__in=feed_ids)
for feed in feeds:
feed.setup_feed_for_premium_subscribers()
def setup_feed_for_premium_subscribers(self):
self.count_subscribers()
self.set_next_scheduled_update()
def check_feed_link_for_feed_address(self):
@timelimit(10)
def _1():
feed_address = None
feed = self
found_feed_urls = []
try:
logging.debug(" ---> Checking: %s" % self.feed_address)
found_feed_urls = feedfinder.find_feeds(self.feed_address)
if found_feed_urls:
feed_address = found_feed_urls[0]
except KeyError:
pass
if not len(found_feed_urls) and self.feed_link:
found_feed_urls = feedfinder.find_feeds(self.feed_link)
if len(found_feed_urls) and found_feed_urls[0] != self.feed_address:
feed_address = found_feed_urls[0]
if feed_address:
if any(ignored_domain in feed_address for ignored_domain in [
'feedburner.com/atom.xml',
'feedburner.com/feed/',
'feedsportal.com',
]):
logging.debug(" ---> Feed points to 'Wierdo' or 'feedsportal', ignoring.")
return False, self
try:
self.feed_address = feed_address
feed = self.save()
feed.count_subscribers()
feed.schedule_feed_fetch_immediately()
feed.has_feed_exception = False
feed.active = True
feed = feed.save()
except IntegrityError:
original_feed = Feed.objects.get(feed_address=feed_address, feed_link=self.feed_link)
original_feed.has_feed_exception = False
original_feed.active = True
original_feed.save()
merge_feeds(original_feed.pk, self.pk)
return feed_address, feed
if self.feed_address_locked:
return False, self
try:
feed_address, feed = _1()
except TimeoutError, e:
logging.debug(' ---> [%-30s] Feed address check timed out...' % (self.log_title[:30]))
self.save_feed_history(505, 'Timeout', e)
feed = self
feed_address = None
return bool(feed_address), feed
def save_feed_history(self, status_code, message, exception=None, date=None):
fetch_history = MFetchHistory.add(feed_id=self.pk,
fetch_type='feed',
code=int(status_code),
date=date,
message=message,
exception=exception)
if status_code not in (200, 304):
self.errors_since_good += 1
self.count_errors_in_history('feed', status_code, fetch_history=fetch_history)
self.set_next_scheduled_update()
elif self.has_feed_exception or self.errors_since_good:
self.errors_since_good = 0
self.has_feed_exception = False
self.active = True
self.save()
def save_page_history(self, status_code, message, exception=None, date=None):
fetch_history = MFetchHistory.add(feed_id=self.pk,
fetch_type='page',
code=int(status_code),
date=date,
message=message,
exception=exception)
if status_code not in (200, 304):
self.count_errors_in_history('page', status_code, fetch_history=fetch_history)
elif self.has_page_exception or not self.has_page:
self.has_page_exception = False
self.has_page = True
self.active = True
self.save()
def save_raw_feed(self, raw_feed, fetch_date):
MFetchHistory.add(feed_id=self.pk,
fetch_type='raw_feed',
code=200,
message=raw_feed,
date=fetch_date)
def count_errors_in_history(self, exception_type='feed', status_code=None, fetch_history=None):
if not fetch_history:
fetch_history = MFetchHistory.feed(self.pk)
fh = fetch_history[exception_type + '_fetch_history']
non_errors = [h for h in fh if h['status_code'] and int(h['status_code']) in (200, 304)]
errors = [h for h in fh if h['status_code'] and int(h['status_code']) not in (200, 304)]
if len(non_errors) == 0 and len(errors) > 1:
self.active = True
if exception_type == 'feed':
self.has_feed_exception = True
# self.active = False # No longer, just geometrically fetch
elif exception_type == 'page':
self.has_page_exception = True
self.exception_code = status_code or int(errors[0])
self.save()
elif self.exception_code > 0:
self.active = True
self.exception_code = 0
if exception_type == 'feed':
self.has_feed_exception = False
elif exception_type == 'page':
self.has_page_exception = False
self.save()
logging.debug(' ---> [%-30s] ~FBCounting any errors in history: %s (%s non errors)' %
(self.log_title[:30], len(errors), len(non_errors)))
return errors, non_errors
def count_redirects_in_history(self, fetch_type='feed', fetch_history=None):
logging.debug(' ---> [%-30s] Counting redirects in history...' % (self.log_title[:30]))
if not fetch_history:
fetch_history = MFetchHistory.feed(self.pk)
fh = fetch_history[fetch_type+'_fetch_history']
redirects = [h for h in fh if h['status_code'] and int(h['status_code']) in (301, 302)]
non_redirects = [h for h in fh if h['status_code'] and int(h['status_code']) not in (301, 302)]
return redirects, non_redirects
@property
def original_feed_id(self):
if self.branch_from_feed:
return self.branch_from_feed.pk
else:
return self.pk
@property
def counts_converted_to_redis(self):
SUBSCRIBER_EXPIRE_DATE = datetime.datetime.now() - datetime.timedelta(days=settings.SUBSCRIBER_EXPIRE)
subscriber_expire = int(SUBSCRIBER_EXPIRE_DATE.strftime('%s'))
r = redis.Redis(connection_pool=settings.REDIS_FEED_SUB_POOL)
total_key = "s:%s" % self.original_feed_id
premium_key = "sp:%s" % self.original_feed_id
last_recount = r.zscore(total_key, -1) # Need to subtract this extra when counting subs
last_recount = r.zscore(premium_key, -1) # Need to subtract this extra when counting subs
# Check for expired feeds with no active users who would have triggered a cleanup
if last_recount and last_recount > subscriber_expire:
return True
elif last_recount:
logging.info(" ---> [%-30s] ~SN~FBFeed has expired redis subscriber counts (%s < %s), clearing..." % (
self.log_title[:30], last_recount, subscriber_expire))
r.delete(total_key, -1)
r.delete(premium_key, -1)
return False
def count_subscribers(self, recount=True, verbose=False):
if recount or not self.counts_converted_to_redis:
from apps.profile.models import Profile
Profile.count_feed_subscribers(feed_id=self.pk)
SUBSCRIBER_EXPIRE_DATE = datetime.datetime.now() - datetime.timedelta(days=settings.SUBSCRIBER_EXPIRE)
subscriber_expire = int(SUBSCRIBER_EXPIRE_DATE.strftime('%s'))
now = int(datetime.datetime.now().strftime('%s'))
r = redis.Redis(connection_pool=settings.REDIS_FEED_SUB_POOL)
total = 0
active = 0
premium = 0
active_premium = 0
# Include all branched feeds in counts
feed_ids = [f['id'] for f in Feed.objects.filter(branch_from_feed=self.original_feed_id).values('id')]
feed_ids.append(self.original_feed_id)
feed_ids = list(set(feed_ids))
if self.counts_converted_to_redis:
# For each branched feed, count different subscribers
for feed_id in feed_ids:
pipeline = r.pipeline()
# now+1 ensures `-1` flag will be corrected for later with - 1
total_key = "s:%s" % feed_id
premium_key = "sp:%s" % feed_id
pipeline.zcard(total_key)
pipeline.zcount(total_key, subscriber_expire, now+1)
pipeline.zcard(premium_key)
pipeline.zcount(premium_key, subscriber_expire, now+1)
results = pipeline.execute()
# -1 due to counts_converted_to_redis using key=-1 for last_recount date
total += max(0, results[0] - 1)
active += max(0, results[1] - 1)
premium += max(0, results[2] - 1)
active_premium += max(0, results[3] - 1)
original_num_subscribers = self.num_subscribers
original_active_subs = self.active_subscribers
original_premium_subscribers = self.premium_subscribers
original_active_premium_subscribers = self.active_premium_subscribers
logging.info(" ---> [%-30s] ~SN~FBCounting subscribers from ~FCredis~FB: ~FMt:~SB~FM%s~SN a:~SB%s~SN p:~SB%s~SN ap:~SB%s ~SN~FC%s" %
(self.log_title[:30], total, active, premium, active_premium, "(%s branches)" % (len(feed_ids)-1) if len(feed_ids)>1 else ""))
else:
from apps.reader.models import UserSubscription
subs = UserSubscription.objects.filter(feed__in=feed_ids)
original_num_subscribers = self.num_subscribers
total = subs.count()
active_subs = UserSubscription.objects.filter(
feed__in=feed_ids,
active=True,
user__profile__last_seen_on__gte=SUBSCRIBER_EXPIRE_DATE
)
original_active_subs = self.active_subscribers
active = active_subs.count()
premium_subs = UserSubscription.objects.filter(
feed__in=feed_ids,
active=True,
user__profile__is_premium=True
)
original_premium_subscribers = self.premium_subscribers
premium = premium_subs.count()
active_premium_subscribers = UserSubscription.objects.filter(
feed__in=feed_ids,
active=True,
user__profile__is_premium=True,
user__profile__last_seen_on__gte=SUBSCRIBER_EXPIRE_DATE
)
original_active_premium_subscribers = self.active_premium_subscribers
active_premium = active_premium_subscribers.count()
logging.debug(" ---> [%-30s] ~SN~FBCounting subscribers from ~FYpostgres~FB: ~FMt:~SB~FM%s~SN a:~SB%s~SN p:~SB%s~SN ap:~SB%s" %
(self.log_title[:30], total, active, premium, active_premium))
# If any counts have changed, save them
self.num_subscribers = total
self.active_subscribers = active
self.premium_subscribers = premium
self.active_premium_subscribers = active_premium
if (self.num_subscribers != original_num_subscribers or
self.active_subscribers != original_active_subs or
self.premium_subscribers != original_premium_subscribers or
self.active_premium_subscribers != original_active_premium_subscribers):
if original_premium_subscribers == -1 or original_active_premium_subscribers == -1:
self.save()
else:
self.save(update_fields=['num_subscribers', 'active_subscribers',
'premium_subscribers', 'active_premium_subscribers'])
if verbose:
if self.num_subscribers <= 1:
print '.',
else:
print "\n %s> %s subscriber%s: %s" % (
'-' * min(self.num_subscribers, 20),
self.num_subscribers,
'' if self.num_subscribers == 1 else 's',
self.feed_title,
),
def _split_favicon_color(self):
color = self.favicon_color
if color:
splitter = lambda s, p: [s[i:i+p] for i in range(0, len(s), p)]
red, green, blue = splitter(color[:6], 2)
return red, green, blue
return None, None, None
def favicon_fade(self):
red, green, blue = self._split_favicon_color()
if red and green and blue:
fade_red = hex(min(int(red, 16) + 35, 255))[2:].zfill(2)
fade_green = hex(min(int(green, 16) + 35, 255))[2:].zfill(2)
fade_blue = hex(min(int(blue, 16) + 35, 255))[2:].zfill(2)
return "%s%s%s" % (fade_red, fade_green, fade_blue)
def favicon_border(self):
red, green, blue = self._split_favicon_color()
if red and green and blue:
fade_red = hex(min(int(int(red, 16) * .75), 255))[2:].zfill(2)
fade_green = hex(min(int(int(green, 16) * .75), 255))[2:].zfill(2)
fade_blue = hex(min(int(int(blue, 16) * .75), 255))[2:].zfill(2)
return "%s%s%s" % (fade_red, fade_green, fade_blue)
def favicon_text_color(self):
# Color format: {r: 1, g: .5, b: 0}
def contrast(color1, color2):
lum1 = luminosity(color1)
lum2 = luminosity(color2)
if lum1 > lum2:
return (lum1 + 0.05) / (lum2 + 0.05)
else:
return (lum2 + 0.05) / (lum1 + 0.05)
def luminosity(color):
r = color['red']
g = color['green']
b = color['blue']
val = lambda c: c/12.92 if c <= 0.02928 else math.pow(((c + 0.055)/1.055), 2.4)
red = val(r)
green = val(g)
blue = val(b)
return 0.2126 * red + 0.7152 * green + 0.0722 * blue
red, green, blue = self._split_favicon_color()
if red and green and blue:
color = {
'red': int(red, 16) / 256.0,
'green': int(green, 16) / 256.0,
'blue': int(blue, 16) / 256.0,
}
white = {
'red': 1,
'green': 1,
'blue': 1,
}
grey = {
'red': 0.5,
'green': 0.5,
'blue': 0.5,
}
if contrast(color, white) > contrast(color, grey):
return 'white'
else:
return 'black'
def save_feed_stories_last_month(self, verbose=False):
month_ago = datetime.datetime.utcnow() - datetime.timedelta(days=30)
stories_last_month = MStory.objects(story_feed_id=self.pk,
story_date__gte=month_ago).count()
if self.stories_last_month != stories_last_month:
self.stories_last_month = stories_last_month
self.save(update_fields=['stories_last_month'])
if verbose:
print " ---> %s [%s]: %s stories last month" % (self.feed_title, self.pk,
self.stories_last_month)
def save_feed_story_history_statistics(self, current_counts=None):
"""
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
if not current_counts:
current_counts = self.data.story_count_history and json.decode(self.data.story_count_history)
if isinstance(current_counts, dict):
current_counts = current_counts['months']
if not current_counts:
current_counts = []
# Count stories, aggregate by year and month. Map Reduce!
map_f = """
function() {
var date = (this.story_date.getFullYear()) + "-" + (this.story_date.getMonth()+1);
var hour = this.story_date.getUTCHours();
var day = this.story_date.getDay();
emit(this.story_hash, {'month': date, 'hour': hour, 'day': day});
}
"""
reduce_f = """
function(key, values) {
return values;
}
"""
dates = defaultdict(int)
hours = defaultdict(int)
days = defaultdict(int)
results = MStory.objects(story_feed_id=self.pk).map_reduce(map_f, reduce_f, output='inline')
for result in results:
dates[result.value['month']] += 1
hours[int(result.value['hour'])] += 1
days[int(result.value['day'])] += 1
year = int(re.findall(r"(\d{4})-\d{1,2}", result.value['month'])[0])
if year < min_year and year > 2000:
min_year = year
# Add on to existing months, always amending up, never down. (Current month
# is guaranteed to be accurate, since trim_feeds won't delete it until after
# a month. Hacker News can have 1,000+ and still be counted.)
for current_month, current_count in current_counts:
year = int(re.findall(r"(\d{4})-\d{1,2}", current_month)[0])
if current_month not in dates or dates[current_month] < current_count:
dates[current_month] = current_count
if year < min_year and year > 2000:
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)
if dates.get(key, 0) > 0:
month_count += 1 # Only count months that have stories for the average
original_story_count_history = self.data.story_count_history
self.data.story_count_history = json.encode({'months': months, 'hours': hours, 'days': days})
if self.data.story_count_history != original_story_count_history:
self.data.save(update_fields=['story_count_history'])
original_average_stories_per_month = self.average_stories_per_month
if not total or not month_count:
self.average_stories_per_month = 0
else:
self.average_stories_per_month = int(round(total / float(month_count)))
if self.average_stories_per_month != original_average_stories_per_month:
self.save(update_fields=['average_stories_per_month'])
def save_classifier_counts(self):
from apps.analyzer.models import MClassifierTitle, MClassifierAuthor, MClassifierFeed, MClassifierTag
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(feed_id=self.pk).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
if facet_values['pos'] + facet_values['neg'] >= 1:
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.data.feed_classifier_counts = json.encode(scores)
self.data.save()
return scores
@property
def user_agent(self):
feed_parts = urlparse.urlparse(self.feed_address)
if feed_parts.netloc.find('.tumblr.com') != -1:
# Certain tumblr feeds will redirect to tumblr's login page when fetching.
# A known workaround is using facebook's user agent.
return 'facebookexternalhit/1.0 (+http://www.facebook.com/externalhit_uatext.php)'
ua = ('NewsBlur Feed Fetcher - %s subscriber%s - %s '
'(Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_3) '
'AppleWebKit/537.36 (KHTML, like Gecko) '
'Chrome/56.0.2924.87 Safari/537.36)' % (
self.num_subscribers,
's' if self.num_subscribers != 1 else '',
self.permalink,
))
return ua
@property
def fake_user_agent(self):
ua = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.12; rv:49.0) Gecko/20100101 Firefox/49.0"
return ua
def fetch_headers(self, fake=False):
headers = {
'User-Agent': self.user_agent if not fake else self.fake_user_agent,
'Accept': 'application/atom+xml, application/rss+xml, application/xml;q=0.8, text/xml;q=0.6, */*;q=0.2',
'Accept-Encoding': 'gzip, deflate',
}
return headers
def update(self, **kwargs):
from utils import feed_fetcher
r = redis.Redis(connection_pool=settings.REDIS_FEED_UPDATE_POOL)
original_feed_id = int(self.pk)
options = {
'verbose': kwargs.get('verbose'),
'timeout': 10,
'single_threaded': kwargs.get('single_threaded', True),
'force': kwargs.get('force'),
'force_fp': kwargs.get('force_fp'),
'compute_scores': kwargs.get('compute_scores', True),
'mongodb_replication_lag': kwargs.get('mongodb_replication_lag', None),
'fake': kwargs.get('fake'),
'quick': kwargs.get('quick'),
'updates_off': kwargs.get('updates_off'),
'debug': kwargs.get('debug'),
'fpf': kwargs.get('fpf'),
'feed_xml': kwargs.get('feed_xml'),
'requesting_user_id': kwargs.get('requesting_user_id', None)
}
if getattr(settings, 'TEST_DEBUG', False):
print " ---> Testing feed fetch: %s" % self.log_title
# options['force_fp'] = True # No, why would this be needed?
original_feed_address = self.feed_address
original_feed_link = self.feed_link
self.feed_address = self.feed_address.replace("%(NEWSBLUR_DIR)s", settings.NEWSBLUR_DIR)
if self.feed_link:
self.feed_link = self.feed_link.replace("%(NEWSBLUR_DIR)s", settings.NEWSBLUR_DIR)
if self.feed_address != original_feed_address or self.feed_link != original_feed_link:
self.save(update_fields=['feed_address', 'feed_link'])
if self.is_newsletter:
feed = self.update_newsletter_icon()
else:
disp = feed_fetcher.Dispatcher(options, 1)
disp.add_jobs([[self.pk]])
feed = disp.run_jobs()
if feed:
feed = Feed.get_by_id(feed.pk)
if feed:
feed.last_update = datetime.datetime.utcnow()
feed.set_next_scheduled_update()
r.zadd('fetched_feeds_last_hour', feed.pk, int(datetime.datetime.now().strftime('%s')))
if not feed or original_feed_id != feed.pk:
logging.info(" ---> ~FRFeed changed id, removing %s from tasked_feeds queue..." % original_feed_id)
r.zrem('tasked_feeds', original_feed_id)
r.zrem('error_feeds', original_feed_id)
if feed:
r.zrem('tasked_feeds', feed.pk)
r.zrem('error_feeds', feed.pk)
return feed
def update_newsletter_icon(self):
from apps.rss_feeds.icon_importer import IconImporter
icon_importer = IconImporter(self)
icon_importer.save()
return self
@classmethod
def get_by_id(cls, feed_id, feed_address=None):
try:
feed = Feed.objects.get(pk=feed_id)
return feed
except Feed.DoesNotExist:
# Feed has been merged after updating. Find the right feed.
duplicate_feeds = DuplicateFeed.objects.filter(duplicate_feed_id=feed_id)
if duplicate_feeds:
return duplicate_feeds[0].feed
if feed_address:
duplicate_feeds = DuplicateFeed.objects.filter(duplicate_address=feed_address)
if duplicate_feeds:
return duplicate_feeds[0].feed
@classmethod
def get_by_name(cls, query, limit=1):
results = SearchFeed.query(query)
feed_ids = [result.feed_id for result in results]
if limit == 1:
return Feed.get_by_id(feed_ids[0])
else:
return [Feed.get_by_id(f) for f in feed_ids][:limit]
def add_update_stories(self, stories, existing_stories, verbose=False, updates_off=False):
ret_values = dict(new=0, updated=0, same=0, error=0)
error_count = self.error_count
new_story_hashes = [s.get('story_hash') for s in stories]
if settings.DEBUG or verbose:
logging.debug(" ---> [%-30s] ~FBChecking ~SB%s~SN new/updated against ~SB%s~SN stories" % (
self.log_title[:30],
len(stories),
len(existing_stories.keys())))
@timelimit(2)
def _1(story, story_content, existing_stories, new_story_hashes):
existing_story, story_has_changed = self._exists_story(story, story_content,
existing_stories, new_story_hashes)
return existing_story, story_has_changed
for story in stories:
if verbose:
logging.debug(" ---> [%-30s] ~FBChecking ~SB%s~SN / ~SB%s" % (
self.log_title[:30],
story.get('title'),
story.get('guid')))
story_content = story.get('story_content')
if error_count:
story_content = strip_comments__lxml(story_content)
else:
story_content = strip_comments(story_content)
story_tags = self.get_tags(story)
story_link = self.get_permalink(story)
replace_story_date = False
try:
existing_story, story_has_changed = _1(story, story_content,
existing_stories, new_story_hashes)
except TimeoutError, e:
logging.debug(' ---> [%-30s] ~SB~FRExisting story check timed out...' % (self.log_title[:30]))
existing_story = None
story_has_changed = False
if existing_story is None:
if settings.DEBUG and False:
logging.debug(' ---> New story in feed (%s - %s): %s' % (self.feed_title, story.get('title'), len(story_content)))
s = MStory(story_feed_id = self.pk,
story_date = story.get('published'),
story_title = story.get('title'),
story_content = story_content,
story_author_name = story.get('author'),
story_permalink = story_link,
story_guid = story.get('guid'),
story_tags = story_tags
)
s.extract_image_urls()
try:
s.save()
ret_values['new'] += 1
s.publish_to_subscribers()
except (IntegrityError, OperationError), e:
ret_values['error'] += 1
if settings.DEBUG:
logging.info(' ---> [%-30s] ~SN~FRIntegrityError on new story: %s - %s' % (self.feed_title[:30], story.get('guid'), e))
if self.search_indexed:
s.index_story_for_search()
elif existing_story and story_has_changed and not updates_off and ret_values['updated'] < 3:
# update story
original_content = None
try:
if existing_story and existing_story.id:
try:
existing_story = MStory.objects.get(id=existing_story.id)
except ValidationError:
existing_story, _ = MStory.find_story(existing_story.story_feed_id,
existing_story.id,
original_only=True)
elif existing_story and existing_story.story_hash:
existing_story, _ = MStory.find_story(existing_story.story_feed_id,
existing_story.story_hash,
original_only=True)
else:
raise MStory.DoesNotExist
except (MStory.DoesNotExist, OperationError), e:
ret_values['error'] += 1
if verbose:
logging.info(' ---> [%-30s] ~SN~FROperation on existing story: %s - %s' % (self.feed_title[:30], story.get('guid'), e))
continue
if existing_story.story_original_content_z:
original_content = zlib.decompress(existing_story.story_original_content_z)
elif existing_story.story_content_z:
original_content = zlib.decompress(existing_story.story_content_z)
# print 'Type: %s %s' % (type(original_content), type(story_content))
if story_content and len(story_content) > 10:
if "<code" in story_content:
# Don't mangle stories with code, just use new
story_content_diff = story_content
else:
story_content_diff = htmldiff(smart_unicode(original_content), smart_unicode(story_content))
else:
story_content_diff = original_content
# logging.debug("\t\tDiff: %s %s %s" % diff.getStats())
# logging.debug("\t\tDiff content: %s" % diff.getDiff())
# if existing_story.story_title != story.get('title'):
# logging.debug('\tExisting title / New: : \n\t\t- %s\n\t\t- %s' % (existing_story.story_title, story.get('title')))
if existing_story.story_hash != story.get('story_hash'):
self.update_story_with_new_guid(existing_story, story.get('guid'))
if verbose:
logging.debug('- Updated story in feed (%s - %s): %s / %s' % (self.feed_title, story.get('title'), len(story_content_diff), len(story_content)))
existing_story.story_feed = self.pk
existing_story.story_title = story.get('title')
existing_story.story_content = story_content_diff
existing_story.story_latest_content = story_content
existing_story.story_original_content = original_content
existing_story.story_author_name = story.get('author')
existing_story.story_permalink = story_link
existing_story.story_guid = story.get('guid')
existing_story.story_tags = story_tags
existing_story.original_text_z = None # Reset Text view cache
# Do not allow publishers to change the story date once a story is published.
# Leads to incorrect unread story counts.
if replace_story_date:
existing_story.story_date = story.get('published') # Really shouldn't do this.
existing_story.extract_image_urls()
try:
existing_story.save()
ret_values['updated'] += 1
except (IntegrityError, OperationError):
ret_values['error'] += 1
if verbose:
logging.info(' ---> [%-30s] ~SN~FRIntegrityError on updated story: %s' % (self.feed_title[:30], story.get('title')[:30]))
except ValidationError:
ret_values['error'] += 1
if verbose:
logging.info(' ---> [%-30s] ~SN~FRValidationError on updated story: %s' % (self.feed_title[:30], story.get('title')[:30]))
if self.search_indexed:
existing_story.index_story_for_search()
else:
ret_values['same'] += 1
if verbose:
logging.debug("Unchanged story (%s): %s / %s " % (story.get('story_hash'), story.get('guid'), story.get('title')))
return ret_values
def update_story_with_new_guid(self, existing_story, new_story_guid):
from apps.reader.models import RUserStory
from apps.social.models import MSharedStory
existing_story.remove_from_redis()
existing_story.remove_from_search_index()
old_hash = existing_story.story_hash
new_hash = MStory.ensure_story_hash(new_story_guid, self.pk)
RUserStory.switch_hash(feed=self, old_hash=old_hash, new_hash=new_hash)
shared_stories = MSharedStory.objects.filter(story_feed_id=self.pk,
story_hash=old_hash)
for story in shared_stories:
story.story_guid = new_story_guid
story.story_hash = new_hash
try:
story.save()
except NotUniqueError:
# Story is already shared, skip.
pass
def save_popular_tags(self, feed_tags=None, verbose=False):
if not feed_tags:
all_tags = MStory.objects(story_feed_id=self.pk,
story_tags__exists=True).item_frequencies('story_tags')
feed_tags = sorted([(k, v) for k, v in all_tags.items() if int(v) > 0],
key=itemgetter(1),
reverse=True)[:25]
popular_tags = json.encode(feed_tags)
if verbose:
print "Found %s tags: %s" % (len(feed_tags), popular_tags)
# TODO: This len() bullshit will be gone when feeds move to mongo
# On second thought, it might stay, because we don't want
# popular tags the size of a small planet. I'm looking at you
# Tumblr writers.
if len(popular_tags) < 1024:
if self.data.popular_tags != popular_tags:
self.data.popular_tags = popular_tags
self.data.save(update_fields=['popular_tags'])
return
tags_list = []
if feed_tags and isinstance(feed_tags, unicode):
tags_list = json.decode(feed_tags)
if len(tags_list) >= 1:
self.save_popular_tags(tags_list[:-1])
def save_popular_authors(self, feed_authors=None):
if not feed_authors:
authors = defaultdict(int)
for story in MStory.objects(story_feed_id=self.pk).only('story_author_name'):
authors[story.story_author_name] += 1
feed_authors = sorted([(k, v) for k, v in authors.items() if k],
key=itemgetter(1),
reverse=True)[:20]
popular_authors = json.encode(feed_authors)
if len(popular_authors) < 1023:
if self.data.popular_authors != popular_authors:
self.data.popular_authors = popular_authors
self.data.save(update_fields=['popular_authors'])
return
if len(feed_authors) > 1:
self.save_popular_authors(feed_authors=feed_authors[:-1])
@classmethod
def trim_old_stories(cls, start=0, verbose=True, dryrun=False, total=0):
now = datetime.datetime.now()
month_ago = now - datetime.timedelta(days=settings.DAYS_OF_STORY_HASHES)
feed_count = Feed.objects.latest('pk').pk
for feed_id in xrange(start, feed_count):
if feed_id % 1000 == 0:
print "\n\n -------------------------- %s (%s deleted so far) --------------------------\n\n" % (feed_id, total)
try:
feed = Feed.objects.get(pk=feed_id)
except Feed.DoesNotExist:
continue
if feed.active_subscribers <= 0 and (not feed.last_story_date or feed.last_story_date < month_ago):
months_ago = 6
if feed.last_story_date:
months_ago = int((now - feed.last_story_date).days / 30.0)
cutoff = max(1, 6 - months_ago)
if dryrun:
print " DRYRUN: %s cutoff - %s" % (cutoff, feed)
else:
total += MStory.trim_feed(feed=feed, cutoff=cutoff, verbose=verbose)
else:
if dryrun:
print " DRYRUN: %s/%s cutoff - %s" % (cutoff, feed.story_cutoff, feed)
else:
total += feed.trim_feed(verbose=verbose)
print " ---> Deleted %s stories in total." % total
@property
def story_cutoff(self):
cutoff = 500
if self.active_subscribers <= 0:
cutoff = 25
elif self.active_premium_subscribers < 1:
cutoff = 100
elif self.active_premium_subscribers <= 2:
cutoff = 200
elif self.active_premium_subscribers <= 5:
cutoff = 300
elif self.active_premium_subscribers <= 10:
cutoff = 350
elif self.active_premium_subscribers <= 15:
cutoff = 400
elif self.active_premium_subscribers <= 20:
cutoff = 450
if self.active_subscribers and self.average_stories_per_month < 5 and self.stories_last_month < 5:
cutoff /= 2
if self.active_premium_subscribers <= 1 and self.average_stories_per_month <= 1 and self.stories_last_month <= 1:
cutoff /= 2
r = redis.Redis(connection_pool=settings.REDIS_FEED_READ_POOL)
pipeline = r.pipeline()
read_stories_per_week = []
now = datetime.datetime.now()
for weeks_back in range(2*int(math.floor(settings.DAYS_OF_STORY_HASHES/7))):
weeks_ago = now - datetime.timedelta(days=7*weeks_back)
week_of_year = weeks_ago.strftime('%Y-%U')
feed_read_key = "fR:%s:%s" % (self.pk, week_of_year)
pipeline.get(feed_read_key)
read_stories_per_week = pipeline.execute()
read_stories_last_month = sum([int(rs) for rs in read_stories_per_week if rs])
if read_stories_last_month == 0:
original_cutoff = cutoff
cutoff = min(cutoff, 10)
try:
logging.debug(" ---> [%-30s] ~FBTrimming down to ~SB%s (instead of %s)~SN stories (~FM%s~FB)" % (self.log_title[:30], cutoff, original_cutoff, self.last_story_date.strftime("%Y-%m-%d") if self.last_story_date else "No last story date"))
except ValueError, e:
logging.debug(" ***> [%-30s] Error trimming: %s" % (self.log_title[:30], e))
pass
if getattr(settings, 'OVERRIDE_STORY_COUNT_MAX', None):
cutoff = settings.OVERRIDE_STORY_COUNT_MAX
return cutoff
def trim_feed(self, verbose=False, cutoff=None):
if not cutoff:
cutoff = self.story_cutoff
return MStory.trim_feed(feed=self, cutoff=cutoff, verbose=verbose)
def purge_feed_stories(self, update=True):
MStory.purge_feed_stories(feed=self, cutoff=self.story_cutoff)
if update:
self.update()
def purge_author(self, author):
all_stories = MStory.objects.filter(story_feed_id=self.pk)
author_stories = MStory.objects.filter(story_feed_id=self.pk, story_author_name__iexact=author)
logging.debug(" ---> Deleting %s of %s stories in %s by '%s'." % (author_stories.count(), all_stories.count(), self, author))
author_stories.delete()
def purge_tag(self, tag):
all_stories = MStory.objects.filter(story_feed_id=self.pk)
tagged_stories = MStory.objects.filter(story_feed_id=self.pk, story_tags__icontains=tag)
logging.debug(" ---> Deleting %s of %s stories in %s by '%s'." % (tagged_stories.count(), all_stories.count(), self, tag))
tagged_stories.delete()
# @staticmethod
# def clean_invalid_ids():
# history = MFeedFetchHistory.objects(status_code=500, exception__contains='InvalidId:')
# urls = set()
# for h in history:
# u = re.split('InvalidId: (.*?) is not a valid ObjectId\\n$', h.exception)[1]
# urls.add((h.feed_id, u))
#
# for f, u in urls:
# print "db.stories.remove({\"story_feed_id\": %s, \"_id\": \"%s\"})" % (f, u)
def get_stories(self, offset=0, limit=25, force=False):
stories_db = MStory.objects(story_feed_id=self.pk)[offset:offset+limit]
stories = self.format_stories(stories_db, self.pk)
return stories
@classmethod
def find_feed_stories(cls, feed_ids, query, order="newest", offset=0, limit=25):
story_ids = SearchStory.query(feed_ids=feed_ids, query=query, order=order,
offset=offset, limit=limit)
stories_db = MStory.objects(
story_hash__in=story_ids
).order_by('-story_date' if order == "newest" else 'story_date')
stories = cls.format_stories(stories_db)
return stories
@classmethod
def query_popularity(cls, query, limit, order='newest'):
popularity = {}
seen_feeds = set()
feed_title_to_id = dict()
# Collect stories, sort by feed
story_ids = SearchStory.global_query(query, order=order, offset=0, limit=limit)
for story_hash in story_ids:
feed_id, story_id = MStory.split_story_hash(story_hash)
feed = Feed.get_by_id(feed_id)
if not feed: continue
if feed.feed_title in seen_feeds:
feed_id = feed_title_to_id[feed.feed_title]
else:
feed_title_to_id[feed.feed_title] = feed_id
seen_feeds.add(feed.feed_title)
if feed_id not in popularity:
# feed.update_all_statistics()
# classifiers = feed.save_classifier_counts()
well_read_score = feed.well_read_score()
popularity[feed_id] = {
'feed_title': feed.feed_title,
'feed_url': feed.feed_link,
'num_subscribers': feed.num_subscribers,
'feed_id': feed.pk,
'story_ids': [],
'authors': {},
'read_pct': well_read_score['read_pct'],
'reader_count': well_read_score['reader_count'],
'story_count': well_read_score['story_count'],
'reach_score': well_read_score['reach_score'],
'share_count': well_read_score['share_count'],
'ps': 0,
'ng': 0,
'classifiers': json.decode(feed.data.feed_classifier_counts),
}
if popularity[feed_id]['classifiers']:
for classifier in popularity[feed_id]['classifiers'].get('feed', []):
if int(classifier['feed_id']) == int(feed_id):
popularity[feed_id]['ps'] = classifier['pos']
popularity[feed_id]['ng'] = -1 * classifier['neg']
popularity[feed_id]['story_ids'].append(story_hash)
sorted_popularity = sorted(popularity.values(), key=lambda x: x['reach_score'],
reverse=True)
# Extract story authors from feeds
for feed in sorted_popularity:
story_ids = feed['story_ids']
stories_db = MStory.objects(story_hash__in=story_ids)
stories = cls.format_stories(stories_db)
for story in stories:
story['story_permalink'] = story['story_permalink'][:250]
if story['story_authors'] not in feed['authors']:
feed['authors'][story['story_authors']] = {
'name': story['story_authors'],
'count': 0,
'ps': 0,
'ng': 0,
'tags': {},
'stories': [],
}
author = feed['authors'][story['story_authors']]
seen = False
for seen_story in author['stories']:
if seen_story['url'] == story['story_permalink']:
seen = True
break
else:
author['stories'].append({
'title': story['story_title'],
'url': story['story_permalink'],
'date': story['story_date'],
})
author['count'] += 1
if seen: continue # Don't recount tags
if feed['classifiers']:
for classifier in feed['classifiers'].get('author', []):
if classifier['author'] == author['name']:
author['ps'] = classifier['pos']
author['ng'] = -1 * classifier['neg']
for tag in story['story_tags']:
if tag not in author['tags']:
author['tags'][tag] = {'name': tag, 'count': 0, 'ps': 0, 'ng': 0}
author['tags'][tag]['count'] += 1
if feed['classifiers']:
for classifier in feed['classifiers'].get('tag', []):
if classifier['tag'] == tag:
author['tags'][tag]['ps'] = classifier['pos']
author['tags'][tag]['ng'] = -1 * classifier['neg']
sorted_authors = sorted(feed['authors'].values(), key=lambda x: x['count'])
feed['authors'] = sorted_authors
# pprint(sorted_popularity)
return sorted_popularity
def well_read_score(self):
from apps.reader.models import UserSubscription
from apps.social.models import MSharedStory
# Average percentage of stories read vs published across recently active subscribers
r = redis.Redis(connection_pool=settings.REDIS_STORY_HASH_POOL)
p = r.pipeline()
shared_stories = MSharedStory.objects(story_feed_id=self.pk).count()
subscribing_users = UserSubscription.objects.filter(feed_id=self.pk).values('user_id')
subscribing_user_ids = [sub['user_id'] for sub in subscribing_users]
for user_id in subscribing_user_ids:
user_rs = "RS:%s:%s" % (user_id, self.pk)
p.scard(user_rs)
counts = p.execute()
counts = [c for c in counts if c > 0]
reader_count = len(counts)
story_count = MStory.objects(story_feed_id=self.pk,
story_date__gte=self.unread_cutoff).count()
if reader_count and story_count:
average_pct = (sum(counts) / float(reader_count)) / float(story_count)
else:
average_pct = 0
reach_score = average_pct * reader_count * story_count
return {'read_pct': average_pct, 'reader_count': reader_count,
'reach_score': reach_score, 'story_count': story_count,
'share_count': shared_stories}
@classmethod
def xls_query_popularity(cls, queries, limit):
import xlsxwriter
from xlsxwriter.utility import xl_rowcol_to_cell
if isinstance(queries, unicode):
queries = [q.strip() for q in queries.split(',')]
title = 'NewsBlur-%s.xlsx' % slugify('-'.join(queries))
workbook = xlsxwriter.Workbook(title)
bold = workbook.add_format({'bold': 1})
date_format = workbook.add_format({'num_format': 'mmm d yyyy'})
unread_format = workbook.add_format({'font_color': '#E0E0E0'})
for query in queries:
worksheet = workbook.add_worksheet(query)
row = 1
col = 0
worksheet.write(0, col, 'Publisher', bold)
worksheet.set_column(col, col, 15); col += 1
worksheet.write(0, col, 'Feed URL', bold)
worksheet.set_column(col, col, 20); col += 1
worksheet.write(0, col, 'Reach score', bold)
worksheet.write_comment(0, col, 'Feeds are sorted based on this score. It\'s simply the # of readers * # of stories in the past 30 days * the percentage of stories that are actually read.')
worksheet.set_column(col, col, 9); col += 1
worksheet.write(0, col, '# subs', bold)
worksheet.write_comment(0, col, 'Total number of subscribers on NewsBlur, not necessarily active')
worksheet.set_column(col, col, 5); col += 1
worksheet.write(0, col, '# readers', bold)
worksheet.write_comment(0, col, 'Total number of active subscribers who have read a story from the feed in the past 30 days.')
worksheet.set_column(col, col, 8); col += 1
worksheet.write(0, col, "read pct", bold)
worksheet.write_comment(0, col, "Of the active subscribers reading this feed in the past 30 days, this is the percentage of stories the average subscriber reads. Values over 100 pct signify that the feed has many shared stories, which throws off the number slightly but not significantly.")
worksheet.set_column(col, col, 8); col += 1
worksheet.write(0, col, '# stories 30d', bold)
worksheet.write_comment(0, col, "It's important to ignore feeds that haven't published anything in the last 30 days, which is why this is part of the Reach Score.")
worksheet.set_column(col, col, 10); col += 1
worksheet.write(0, col, '# shared', bold)
worksheet.write_comment(0, col, 'Number of stories from this feed that were shared on NewsBlur. This is a strong signal of interest although it is not included in the Reach Score.')
worksheet.set_column(col, col, 7); col += 1
worksheet.write(0, col, '# feed pos', bold)
worksheet.write_comment(0, col, 'Number of times this feed was trained with a thumbs up. Users use training to hide stories they don\'t want to see while highlighting those that they do.')
worksheet.set_column(col, col, 8); col += 1
worksheet.write(0, col, '# feed neg', bold)
worksheet.write_comment(0, col, 'Number of times this feed was trained with a thumbs down. Users use training to hide stories they don\'t want to see while highlighting those that they do.')
worksheet.set_column(col, col, 8); col += 1
worksheet.write(0, col, 'Author', bold)
worksheet.set_column(col, col, 15); col += 1
worksheet.write(0, col, '# author pos', bold)
worksheet.write_comment(0, col, 'Number of times this author was trained with a thumbs up. Users use training to hide stories they don\'t want to see while highlighting those that they do.')
worksheet.set_column(col, col, 10); col += 1
worksheet.write(0, col, '# author neg', bold)
worksheet.write_comment(0, col, 'Number of times this author was trained with a thumbs down. Users use training to hide stories they don\'t want to see while highlighting those that they do.')
worksheet.set_column(col, col, 10); col += 1
worksheet.write(0, col, 'Story title', bold)
worksheet.set_column(col, col, 30); col += 1
worksheet.write(0, col, 'Story URL', bold)
worksheet.set_column(col, col, 20); col += 1
worksheet.write(0, col, 'Story date', bold)
worksheet.set_column(col, col, 10); col += 1
worksheet.write(0, col, 'Tag', bold)
worksheet.set_column(col, col, 15); col += 1
worksheet.write(0, col, 'Tag count', bold)
worksheet.write_comment(0, col, 'Number of times this tag is used in other stories that also contain the search query.')
worksheet.set_column(col, col, 8); col += 1
worksheet.write(0, col, '# tag pos', bold)
worksheet.write_comment(0, col, 'Number of times this tag was trained with a thumbs up. Users use training to hide stories they don\'t want to see while highlighting those that they do.')
worksheet.set_column(col, col, 7); col += 1
worksheet.write(0, col, '# tag neg', bold)
worksheet.write_comment(0, col, 'Number of times this tag was trained with a thumbs down. Users use training to hide stories they don\'t want to see while highlighting those that they do.')
worksheet.set_column(col, col, 7); col += 1
popularity = cls.query_popularity(query, limit=limit)
for feed in popularity:
col = 0
worksheet.write(row, col, feed['feed_title']); col += 1
worksheet.write_url(row, col, feed.get('feed_url') or ""); col += 1
worksheet.conditional_format(row, col, row, col+8, {'type': 'cell',
'criteria': '==',
'value': 0,
'format': unread_format})
worksheet.write(row, col, "=%s*%s*%s" % (
xl_rowcol_to_cell(row, col+2),
xl_rowcol_to_cell(row, col+3),
xl_rowcol_to_cell(row, col+4),
)); col += 1
worksheet.write(row, col, feed['num_subscribers']); col += 1
worksheet.write(row, col, feed['reader_count']); col += 1
worksheet.write(row, col, feed['read_pct']); col += 1
worksheet.write(row, col, feed['story_count']); col += 1
worksheet.write(row, col, feed['share_count']); col += 1
worksheet.write(row, col, feed['ps']); col += 1
worksheet.write(row, col, feed['ng']); col += 1
for author in feed['authors']:
row += 1
worksheet.conditional_format(row, col, row, col+2, {'type': 'cell',
'criteria': '==',
'value': 0,
'format': unread_format})
worksheet.write(row, col, author['name'])
worksheet.write(row, col+1, author['ps'])
worksheet.write(row, col+2, author['ng'])
for story in author['stories']:
worksheet.write(row, col+3, story['title'])
worksheet.write_url(row, col+4, story['url'])
worksheet.write_datetime(row, col+5, story['date'], date_format)
row += 1
for tag in author['tags'].values():
worksheet.conditional_format(row, col+7, row, col+9, {'type': 'cell',
'criteria': '==',
'value': 0,
'format': unread_format})
worksheet.write(row, col+6, tag['name'])
worksheet.write(row, col+7, tag['count'])
worksheet.write(row, col+8, tag['ps'])
worksheet.write(row, col+9, tag['ng'])
row += 1
workbook.close()
return title
def find_stories(self, query, order="newest", offset=0, limit=25):
story_ids = SearchStory.query(feed_ids=[self.pk], query=query, order=order,
offset=offset, limit=limit)
stories_db = MStory.objects(
story_hash__in=story_ids
).order_by('-story_date' if order == "newest" else 'story_date')
stories = self.format_stories(stories_db, self.pk)
return stories
@classmethod
def format_stories(cls, stories_db, feed_id=None, include_permalinks=False):
stories = []
for story_db in stories_db:
story = cls.format_story(story_db, feed_id, include_permalinks=include_permalinks)
stories.append(story)
return stories
@classmethod
def format_story(cls, story_db, feed_id=None, text=False, include_permalinks=False,
show_changes=False):
if isinstance(story_db.story_content_z, unicode):
story_db.story_content_z = story_db.story_content_z.decode('base64')
story_content = ''
latest_story_content = None
has_changes = False
if (not show_changes and
hasattr(story_db, 'story_latest_content_z') and
story_db.story_latest_content_z):
latest_story_content = smart_unicode(zlib.decompress(story_db.story_latest_content_z))
if story_db.story_content_z:
story_content = smart_unicode(zlib.decompress(story_db.story_content_z))
if '<ins' in story_content or '<del' in story_content:
has_changes = True
if not show_changes and latest_story_content:
story_content = latest_story_content
story_title = story_db.story_title
blank_story_title = False
if not story_title:
blank_story_title = True
if story_content:
story_title = strip_tags(story_content)
if not story_title and story_db.story_permalink:
story_title = story_db.story_permalink
if len(story_title) > 80:
story_title = story_title[:80] + '...'
story = {}
story['story_hash'] = getattr(story_db, 'story_hash', None)
story['story_tags'] = story_db.story_tags or []
story['story_date'] = story_db.story_date.replace(tzinfo=None)
story['story_timestamp'] = story_db.story_date.strftime('%s')
story['story_authors'] = story_db.story_author_name or ""
story['story_title'] = story_title
if blank_story_title:
story['story_title_blank'] = True
story['story_content'] = story_content
story['story_permalink'] = story_db.story_permalink
story['image_urls'] = story_db.image_urls
story['story_feed_id'] = feed_id or story_db.story_feed_id
story['has_modifications']= has_changes
story['comment_count'] = story_db.comment_count if hasattr(story_db, 'comment_count') else 0
story['comment_user_ids'] = story_db.comment_user_ids if hasattr(story_db, 'comment_user_ids') else []
story['share_count'] = story_db.share_count if hasattr(story_db, 'share_count') else 0
story['share_user_ids'] = story_db.share_user_ids if hasattr(story_db, 'share_user_ids') else []
story['guid_hash'] = story_db.guid_hash if hasattr(story_db, 'guid_hash') else None
if hasattr(story_db, 'source_user_id'):
story['source_user_id'] = story_db.source_user_id
story['id'] = story_db.story_guid or story_db.story_date
if hasattr(story_db, 'starred_date'):
story['starred_date'] = story_db.starred_date
if hasattr(story_db, 'user_tags'):
story['user_tags'] = story_db.user_tags
if hasattr(story_db, 'shared_date'):
story['shared_date'] = story_db.shared_date
if hasattr(story_db, 'comments'):
story['comments'] = story_db.comments
if hasattr(story_db, 'user_id'):
story['user_id'] = story_db.user_id
if include_permalinks and hasattr(story_db, 'blurblog_permalink'):
story['blurblog_permalink'] = story_db.blurblog_permalink()
if text:
soup = BeautifulSoup(story['story_content'])
text = ''.join(soup.findAll(text=True))
text = re.sub(r'\n+', '\n\n', text)
text = re.sub(r'\t+', '\t', text)
story['text'] = text
return story
def get_tags(self, entry):
fcat = []
if entry.has_key('tags'):
for tcat in entry.tags:
term = None
if hasattr(tcat, 'label') and tcat.label:
term = tcat.label
elif hasattr(tcat, 'term') and tcat.term:
term = tcat.term
if not term:
continue
qcat = term.strip()
if ',' in qcat or '/' in qcat:
qcat = qcat.replace(',', '/').split('/')
else:
qcat = [qcat]
for zcat in qcat:
tagname = zcat.lower()
while ' ' in tagname:
tagname = tagname.replace(' ', ' ')
tagname = tagname.strip()
if not tagname or tagname == ' ':
continue
fcat.append(tagname)
fcat = [strip_tags(t)[:250] for t in fcat[:12]]
return fcat
@classmethod
def get_permalink(cls, entry):
link = entry.get('link')
if not link:
links = entry.get('links')
if links:
link = links[0].get('href')
if not link:
link = entry.get('id')
return link
def _exists_story(self, story, story_content, existing_stories, new_story_hashes):
story_in_system = None
story_has_changed = False
story_link = self.get_permalink(story)
existing_stories_hashes = existing_stories.keys()
story_pub_date = story.get('published')
# story_published_now = story.get('published_now', False)
# start_date = story_pub_date - datetime.timedelta(hours=8)
# end_date = story_pub_date + datetime.timedelta(hours=8)
for existing_story in existing_stories.values():
content_ratio = 0
# existing_story_pub_date = existing_story.story_date
# print 'Story pub date: %s %s' % (story_published_now, story_pub_date)
if isinstance(existing_story.id, unicode):
# Correcting a MongoDB bug
existing_story.story_guid = existing_story.id
if story.get('story_hash') == existing_story.story_hash:
story_in_system = existing_story
elif (story.get('story_hash') in existing_stories_hashes and
story.get('story_hash') != existing_story.story_hash):
# Story already exists but is not this one
continue
elif (existing_story.story_hash in new_story_hashes and
story.get('story_hash') != existing_story.story_hash):
# Story coming up later
continue
if 'story_latest_content_z' in existing_story:
existing_story_content = smart_unicode(zlib.decompress(existing_story.story_latest_content_z))
elif 'story_latest_content' in existing_story:
existing_story_content = existing_story.story_latest_content
elif 'story_content_z' in existing_story:
existing_story_content = smart_unicode(zlib.decompress(existing_story.story_content_z))
elif 'story_content' in existing_story:
existing_story_content = existing_story.story_content
else:
existing_story_content = u''
# Title distance + content distance, checking if story changed
story_title_difference = abs(levenshtein_distance(story.get('title'),
existing_story.story_title))
title_ratio = difflib.SequenceMatcher(None, story.get('title', ""),
existing_story.story_title).ratio()
if title_ratio < .75: continue
story_timedelta = existing_story.story_date - story_pub_date
if abs(story_timedelta.days) >= 1: continue
seq = difflib.SequenceMatcher(None, story_content, existing_story_content)
similiar_length_min = 1000
if (existing_story.story_permalink == story_link and
existing_story.story_title == story.get('title')):
similiar_length_min = 20
if (seq
and story_content
and len(story_content) > similiar_length_min
and existing_story_content
and seq.real_quick_ratio() > .9
and seq.quick_ratio() > .95):
content_ratio = seq.ratio()
if story_title_difference > 0 and content_ratio > .98:
story_in_system = existing_story
if story_title_difference > 0 or content_ratio < 1.0:
if settings.DEBUG:
logging.debug(" ---> Title difference - %s/%s (%s): %s" % (story.get('title'), existing_story.story_title, story_title_difference, content_ratio))
story_has_changed = True
break
# More restrictive content distance, still no story match
if not story_in_system and content_ratio > .98:
if settings.DEBUG:
logging.debug(" ---> Content difference - %s/%s (%s): %s" % (story.get('title'), existing_story.story_title, story_title_difference, content_ratio))
story_in_system = existing_story
story_has_changed = True
break
if story_in_system and not story_has_changed:
if story_content != existing_story_content:
if settings.DEBUG:
logging.debug(" ---> Content difference - %s (%s)/%s (%s)" % (story.get('title'), len(story_content), existing_story.story_title, len(existing_story_content)))
story_has_changed = True
if story_link != existing_story.story_permalink:
if settings.DEBUG:
logging.debug(" ---> Permalink difference - %s/%s" % (story_link, existing_story.story_permalink))
story_has_changed = True
# if story_pub_date != existing_story.story_date:
# story_has_changed = True
break
# if story_has_changed or not story_in_system:
# print 'New/updated story: %s' % (story),
return story_in_system, story_has_changed
def get_next_scheduled_update(self, force=False, verbose=True, premium_speed=False):
if self.min_to_decay and not force and not premium_speed:
return self.min_to_decay
if premium_speed:
self.active_premium_subscribers += 1
spd = self.stories_last_month / 30.0
subs = (self.active_premium_subscribers +
((self.active_subscribers - self.active_premium_subscribers) / 10.0))
# Calculate sub counts:
# SELECT COUNT(*) FROM feeds WHERE active_premium_subscribers > 10 AND stories_last_month >= 30;
# SELECT COUNT(*) FROM feeds WHERE active_premium_subscribers > 1 AND active_premium_subscribers < 10 AND stories_last_month >= 30;
# SELECT COUNT(*) FROM feeds WHERE active_premium_subscribers = 1 AND stories_last_month >= 30;
# SpD > 1 Subs > 10: t = 6 # 4267 * 1440/6 = 1024080
# SpD > 1 Subs > 1: t = 15 # 18973 * 1440/15 = 1821408
# SpD > 1 Subs = 1: t = 60 # 65503 * 1440/60 = 1572072
# SELECT COUNT(*) FROM feeds WHERE active_premium_subscribers > 1 AND stories_last_month < 30 AND stories_last_month > 0;
# SELECT COUNT(*) FROM feeds WHERE active_premium_subscribers = 1 AND stories_last_month < 30 AND stories_last_month > 0;
# SpD < 1 Subs > 1: t = 60 # 77618 * 1440/60 = 1862832
# SpD < 1 Subs = 1: t = 60 * 12 # 282186 * 1440/(60*12) = 564372
# SELECT COUNT(*) FROM feeds WHERE active_premium_subscribers > 1 AND stories_last_month = 0;
# SELECT COUNT(*) FROM feeds WHERE active_subscribers > 0 AND active_premium_subscribers <= 1 AND stories_last_month = 0;
# SpD = 0 Subs > 1: t = 60 * 3 # 30158 * 1440/(60*3) = 241264
# SpD = 0 Subs = 1: t = 60 * 24 # 514131 * 1440/(60*24) = 514131
if spd >= 1:
if subs >= 10:
total = 6
elif subs > 1:
total = 15
else:
total = 45
elif spd > 0:
if subs > 1:
total = 60 - (spd * 60)
else:
total = 60*12 - (spd * 60*12)
elif spd == 0:
if subs > 1:
total = 60 * 6
elif subs == 1:
total = 60 * 12
else:
total = 60 * 24
months_since_last_story = seconds_timesince(self.last_story_date) / (60*60*24*30)
total *= max(1, months_since_last_story)
# updates_per_day_delay = 3 * 60 / max(.25, ((max(0, self.active_subscribers)**.2)
# * (self.stories_last_month**0.25)))
# if self.active_premium_subscribers > 0:
# updates_per_day_delay /= min(self.active_subscribers+self.active_premium_subscribers, 4)
# updates_per_day_delay = int(updates_per_day_delay)
# Lots of subscribers = lots of updates
# 24 hours for 0 subscribers.
# 4 hours for 1 subscriber.
# .5 hours for 2 subscribers.
# .25 hours for 3 subscribers.
# 1 min for 10 subscribers.
# subscriber_bonus = 6 * 60 / max(.167, max(0, self.active_subscribers)**3)
# if self.premium_subscribers > 0:
# subscriber_bonus /= min(self.active_subscribers+self.premium_subscribers, 5)
# subscriber_bonus = int(subscriber_bonus)
if self.is_push:
fetch_history = MFetchHistory.feed(self.pk)
if len(fetch_history['push_history']):
total = total * 12
# 6 hour max for premiums, 48 hour max for free
if subs >= 1:
total = min(total, 60*6*1)
else:
total = min(total, 60*24*2)
if verbose:
logging.debug(" ---> [%-30s] Fetched every %s min - Subs: %s/%s/%s Stories/day: %s" % (
self.log_title[:30], total,
self.num_subscribers,
self.active_subscribers,
self.active_premium_subscribers,
spd))
return total
def set_next_scheduled_update(self, verbose=False, skip_scheduling=False):
r = redis.Redis(connection_pool=settings.REDIS_FEED_UPDATE_POOL)
total = self.get_next_scheduled_update(force=True, verbose=verbose)
error_count = self.error_count
if error_count:
total = total * error_count
total = min(total, 60*24*7)
if verbose:
logging.debug(' ---> [%-30s] ~FBScheduling feed fetch geometrically: '
'~SB%s errors. Time: %s min' % (
self.log_title[:30], self.errors_since_good, total))
random_factor = random.randint(0, total) / 4
next_scheduled_update = datetime.datetime.utcnow() + datetime.timedelta(
minutes = total + random_factor)
original_min_to_decay = self.min_to_decay
self.min_to_decay = total
delta = self.next_scheduled_update - datetime.datetime.now()
minutes_to_next_fetch = (delta.seconds + (delta.days * 24 * 3600)) / 60
if minutes_to_next_fetch > self.min_to_decay or not skip_scheduling:
self.next_scheduled_update = next_scheduled_update
if self.active_subscribers >= 1:
r.zadd('scheduled_updates', self.pk, self.next_scheduled_update.strftime('%s'))
r.zrem('tasked_feeds', self.pk)
r.srem('queued_feeds', self.pk)
updated_fields = ['last_update', 'next_scheduled_update']
if self.min_to_decay != original_min_to_decay:
updated_fields.append('min_to_decay')
self.save(update_fields=updated_fields)
@property
def error_count(self):
r = redis.Redis(connection_pool=settings.REDIS_FEED_UPDATE_POOL)
fetch_errors = int(r.zscore('error_feeds', self.pk) or 0)
return fetch_errors + self.errors_since_good
def schedule_feed_fetch_immediately(self, verbose=True):
r = redis.Redis(connection_pool=settings.REDIS_FEED_UPDATE_POOL)
if not self.num_subscribers:
logging.debug(' ---> [%-30s] Not scheduling feed fetch immediately, no subs.' % (self.log_title[:30]))
return
if verbose:
logging.debug(' ---> [%-30s] Scheduling feed fetch immediately...' % (self.log_title[:30]))
self.next_scheduled_update = datetime.datetime.utcnow()
r.zadd('scheduled_updates', self.pk, self.next_scheduled_update.strftime('%s'))
return self.save()
def setup_push(self):
from apps.push.models import PushSubscription
try:
push = self.push
except PushSubscription.DoesNotExist:
self.is_push = False
else:
self.is_push = push.verified
self.save()
def queue_pushed_feed_xml(self, xml, latest_push_date_delta=None):
r = redis.Redis(connection_pool=settings.REDIS_FEED_UPDATE_POOL)
queue_size = r.llen("push_feeds")
if latest_push_date_delta:
latest_push_date_delta = "%s" % str(latest_push_date_delta).split('.', 2)[0]
if queue_size > 1000:
self.schedule_feed_fetch_immediately()
else:
logging.debug(' ---> [%-30s] [%s] ~FB~SBQueuing pushed stories, last pushed %s...' % (self.log_title[:30], self.pk, latest_push_date_delta))
self.set_next_scheduled_update()
PushFeeds.apply_async(args=(self.pk, xml), queue='push_feeds')
# def calculate_collocations_story_content(self,
# collocation_measures=TrigramAssocMeasures,
# collocation_finder=TrigramCollocationFinder):
# stories = MStory.objects.filter(story_feed_id=self.pk)
# story_content = ' '.join([s.story_content for s in stories if s.story_content])
# return self.calculate_collocations(story_content, collocation_measures, collocation_finder)
#
# def calculate_collocations_story_title(self,
# collocation_measures=BigramAssocMeasures,
# collocation_finder=BigramCollocationFinder):
# stories = MStory.objects.filter(story_feed_id=self.pk)
# story_titles = ' '.join([s.story_title for s in stories if s.story_title])
# return self.calculate_collocations(story_titles, collocation_measures, collocation_finder)
#
# def calculate_collocations(self, content,
# collocation_measures=TrigramAssocMeasures,
# collocation_finder=TrigramCollocationFinder):
# content = re.sub(r'&#8217;', '\'', content)
# content = re.sub(r'&amp;', '&', content)
# try:
# content = unicode(BeautifulStoneSoup(content,
# convertEntities=BeautifulStoneSoup.HTML_ENTITIES))
# except ValueError, e:
# print "ValueError, ignoring: %s" % e
# content = re.sub(r'</?\w+\s+[^>]*>', '', content)
# content = re.split(r"[^A-Za-z-'&]+", content)
#
# finder = collocation_finder.from_words(content)
# finder.apply_freq_filter(3)
# best = finder.nbest(collocation_measures.pmi, 10)
# phrases = [' '.join(phrase) for phrase in best]
#
# return phrases
# class FeedCollocations(models.Model):
# feed = models.ForeignKey(Feed)
# phrase = models.CharField(max_length=500)
class FeedData(models.Model):
feed = AutoOneToOneField(Feed, related_name='data')
feed_tagline = models.CharField(max_length=1024, blank=True, null=True)
story_count_history = models.TextField(blank=True, null=True)
feed_classifier_counts = models.TextField(blank=True, null=True)
popular_tags = models.CharField(max_length=1024, blank=True, null=True)
popular_authors = models.CharField(max_length=2048, blank=True, null=True)
def save(self, *args, **kwargs):
if self.feed_tagline and len(self.feed_tagline) >= 1000:
self.feed_tagline = self.feed_tagline[:1000]
try:
super(FeedData, self).save(*args, **kwargs)
except (IntegrityError, OperationError):
if hasattr(self, 'id') and self.id: self.delete()
except DatabaseError, e:
# Nothing updated
logging.debug(" ---> ~FRNothing updated in FeedData (%s): %s" % (self.feed, e))
pass
class MFeedIcon(mongo.Document):
feed_id = mongo.IntField(primary_key=True)
color = mongo.StringField(max_length=6)
data = mongo.StringField()
icon_url = mongo.StringField()
not_found = mongo.BooleanField(default=False)
meta = {
'collection' : 'feed_icons',
'allow_inheritance' : False,
}
@classmethod
def get_feed(cls, feed_id, create=True):
try:
feed_icon = cls.objects.read_preference(pymongo.ReadPreference.PRIMARY)\
.get(feed_id=feed_id)
except cls.DoesNotExist:
if create:
feed_icon = cls.objects.create(feed_id=feed_id)
else:
feed_icon = None
return feed_icon
def save(self, *args, **kwargs):
if self.icon_url:
self.icon_url = unicode(self.icon_url)
try:
return super(MFeedIcon, self).save(*args, **kwargs)
except (IntegrityError, OperationError):
# print "Error on Icon: %s" % e
if hasattr(self, '_id'): self.delete()
class MFeedPage(mongo.Document):
feed_id = mongo.IntField(primary_key=True)
page_data = mongo.BinaryField()
meta = {
'collection': 'feed_pages',
'allow_inheritance': False,
}
def save(self, *args, **kwargs):
if self.page_data:
self.page_data = zlib.compress(self.page_data)
return super(MFeedPage, self).save(*args, **kwargs)
def page(self):
return zlib.decompress(self.page_data)
@classmethod
def get_data(cls, feed_id):
data = None
feed_page = cls.objects(feed_id=feed_id)
if feed_page:
page_data_z = feed_page[0].page_data
if page_data_z:
data = zlib.decompress(page_data_z)
if not data:
dupe_feed = DuplicateFeed.objects.filter(duplicate_feed_id=feed_id)
if dupe_feed:
feed = dupe_feed[0].feed
feed_page = MFeedPage.objects.filter(feed_id=feed.pk)
if feed_page:
page_data_z = feed_page[0].page_data
if page_data_z:
data = zlib.decompress(feed_page[0].page_data)
return data
class MStory(mongo.Document):
'''A feed item'''
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_latest_content = mongo.StringField()
story_latest_content_z = mongo.BinaryField()
original_text_z = mongo.BinaryField()
original_page_z = mongo.BinaryField()
story_content_type = mongo.StringField(max_length=255)
story_author_name = mongo.StringField()
story_permalink = mongo.StringField()
story_guid = mongo.StringField()
story_hash = mongo.StringField()
image_urls = mongo.ListField(mongo.StringField(max_length=1024))
story_tags = mongo.ListField(mongo.StringField(max_length=250))
comment_count = mongo.IntField()
comment_user_ids = mongo.ListField(mongo.IntField())
share_count = mongo.IntField()
share_user_ids = mongo.ListField(mongo.IntField())
meta = {
'collection': 'stories',
'indexes': [('story_feed_id', '-story_date'),
{'fields': ['story_hash'],
'unique': True,
'types': False, }],
'ordering': ['-story_date'],
'allow_inheritance': False,
'cascade': False,
'strict': False,
}
RE_STORY_HASH = re.compile(r"^(\d{1,10}):(\w{6})$")
RE_RS_KEY = re.compile(r"^RS:(\d+):(\d+)$")
@property
def guid_hash(self):
return hashlib.sha1(self.story_guid).hexdigest()[:6]
@classmethod
def guid_hash_unsaved(self, guid):
return hashlib.sha1(guid).hexdigest()[:6]
@property
def feed_guid_hash(self):
return "%s:%s" % (self.story_feed_id, self.guid_hash)
@classmethod
def feed_guid_hash_unsaved(cls, feed_id, guid):
return "%s:%s" % (feed_id, cls.guid_hash_unsaved(guid))
@property
def decoded_story_title(self):
h = HTMLParser.HTMLParser()
return h.unescape(self.story_title)
def save(self, *args, **kwargs):
story_title_max = MStory._fields['story_title'].max_length
story_content_type_max = MStory._fields['story_content_type'].max_length
self.story_hash = self.feed_guid_hash
if self.story_content:
self.story_content_z = zlib.compress(smart_str(self.story_content))
self.story_content = None
if self.story_original_content:
self.story_original_content_z = zlib.compress(smart_str(self.story_original_content))
self.story_original_content = None
if self.story_latest_content:
self.story_latest_content_z = zlib.compress(smart_str(self.story_latest_content))
self.story_latest_content = None
if self.story_title and len(self.story_title) > story_title_max:
self.story_title = self.story_title[:story_title_max]
if self.story_content_type and len(self.story_content_type) > story_content_type_max:
self.story_content_type = self.story_content_type[:story_content_type_max]
super(MStory, self).save(*args, **kwargs)
self.sync_redis()
return self
def delete(self, *args, **kwargs):
self.remove_from_redis()
self.remove_from_search_index()
super(MStory, self).delete(*args, **kwargs)
def publish_to_subscribers(self):
try:
r = redis.Redis(connection_pool=settings.REDIS_PUBSUB_POOL)
r.publish("%s:story" % (self.story_feed_id), '%s,%s' % (self.story_hash, self.story_date.strftime('%s')))
except redis.ConnectionError:
logging.debug(" ***> [%-30s] ~BMRedis is unavailable for real-time." % (Feed.get_by_id(self.story_feed_id).title[:30],))
@classmethod
def purge_feed_stories(cls, feed, cutoff, verbose=True):
stories = cls.objects(story_feed_id=feed.pk)
logging.debug(" ---> Deleting %s stories from %s" % (stories.count(), feed))
if stories.count() > cutoff*1.25:
logging.debug(" ***> ~FRToo many stories in %s, not purging..." % (feed))
return
stories.delete()
@classmethod
def index_all_for_search(cls, offset=0):
if not offset:
SearchStory.create_elasticsearch_mapping(delete=True)
last_pk = Feed.objects.latest('pk').pk
for f in xrange(offset, last_pk, 1000):
print " ---> %s / %s (%.2s%%)" % (f, last_pk, float(f)/last_pk*100)
feeds = Feed.objects.filter(pk__in=range(f, f+1000),
active=True,
active_subscribers__gte=1)\
.values_list('pk')
for feed_id, in feeds:
stories = cls.objects.filter(story_feed_id=feed_id)
for story in stories:
story.index_story_for_search()
def index_story_for_search(self):
story_content = self.story_content or ""
if self.story_content_z:
story_content = zlib.decompress(self.story_content_z)
SearchStory.index(story_hash=self.story_hash,
story_title=self.story_title,
story_content=prep_for_search(story_content),
story_tags=self.story_tags,
story_author=self.story_author_name,
story_feed_id=self.story_feed_id,
story_date=self.story_date)
def remove_from_search_index(self):
try:
SearchStory.remove(self.story_hash)
except NotFoundException:
pass
@classmethod
def trim_feed(cls, cutoff, feed_id=None, feed=None, verbose=True):
extra_stories_count = 0
if not feed_id and not feed:
return extra_stories_count
if not feed_id:
feed_id = feed.pk
if not feed:
feed = feed_id
stories = cls.objects(
story_feed_id=feed_id
).only('story_date').order_by('-story_date')
if stories.count() > cutoff:
logging.debug(' ---> [%-30s] ~FMFound %s stories. Trimming to ~SB%s~SN...' %
(unicode(feed)[:30], stories.count(), cutoff))
try:
story_trim_date = stories[cutoff].story_date
if story_trim_date == stories[0].story_date:
# Handle case where every story is the same time
story_trim_date = story_trim_date - datetime.timedelta(seconds=1)
except IndexError, e:
logging.debug(' ***> [%-30s] ~BRError trimming feed: %s' % (unicode(feed)[:30], e))
return extra_stories_count
extra_stories = cls.objects(story_feed_id=feed_id,
story_date__lte=story_trim_date)
extra_stories_count = extra_stories.count()
shared_story_count = 0
for story in extra_stories:
if story.share_count:
shared_story_count += 1
extra_stories_count -= 1
continue
story.delete()
if verbose:
existing_story_count = cls.objects(story_feed_id=feed_id).count()
logging.debug(" ---> Deleted %s stories, %s (%s shared) left." % (
extra_stories_count,
existing_story_count,
shared_story_count))
return extra_stories_count
@classmethod
def find_story(cls, story_feed_id=None, story_id=None, story_hash=None, original_only=False):
from apps.social.models import MSharedStory
original_found = False
if story_hash:
story_id = story_hash
story_hash = cls.ensure_story_hash(story_id, story_feed_id)
if not story_feed_id:
story_feed_id, _ = cls.split_story_hash(story_hash)
if isinstance(story_id, ObjectId):
story = cls.objects(id=story_id).limit(1).first()
else:
story = cls.objects(story_hash=story_hash).limit(1).first()
if story:
original_found = True
if not story and not original_only:
story = MSharedStory.objects.filter(story_feed_id=story_feed_id,
story_hash=story_hash).limit(1).first()
if not story and not original_only:
story = MStarredStory.objects.filter(story_feed_id=story_feed_id,
story_hash=story_hash).limit(1).first()
return story, original_found
@classmethod
def find_by_id(cls, story_ids):
from apps.social.models import MSharedStory
count = len(story_ids)
multiple = isinstance(story_ids, list) or isinstance(story_ids, tuple)
stories = list(cls.objects(id__in=story_ids))
if len(stories) < count:
shared_stories = list(MSharedStory.objects(id__in=story_ids))
stories.extend(shared_stories)
if not multiple:
stories = stories[0]
return stories
@classmethod
def find_by_story_hashes(cls, story_hashes):
from apps.social.models import MSharedStory
count = len(story_hashes)
multiple = isinstance(story_hashes, list) or isinstance(story_hashes, tuple)
stories = list(cls.objects(story_hash__in=story_hashes))
if len(stories) < count:
hashes_found = [s.story_hash for s in stories]
remaining_hashes = list(set(story_hashes) - set(hashes_found))
story_feed_ids = [h.split(':')[0] for h in remaining_hashes]
shared_stories = list(MSharedStory.objects(story_feed_id__in=story_feed_ids,
story_hash__in=remaining_hashes))
stories.extend(shared_stories)
if not multiple:
stories = stories[0]
return stories
@classmethod
def ensure_story_hash(cls, story_id, story_feed_id):
if not cls.RE_STORY_HASH.match(story_id):
story_id = "%s:%s" % (story_feed_id, hashlib.sha1(story_id).hexdigest()[:6])
return story_id
@classmethod
def split_story_hash(cls, story_hash):
matches = cls.RE_STORY_HASH.match(story_hash)
if matches:
groups = matches.groups()
return groups[0], groups[1]
return None, None
@classmethod
def split_rs_key(cls, rs_key):
matches = cls.RE_RS_KEY.match(rs_key)
if matches:
groups = matches.groups()
return groups[0], groups[1]
return None, None
@classmethod
def story_hashes(cls, story_ids):
story_hashes = []
for story_id in story_ids:
story_hash = cls.ensure_story_hash(story_id)
if not story_hash: continue
story_hashes.append(story_hash)
return story_hashes
def sync_redis(self, r=None):
if not r:
r = redis.Redis(connection_pool=settings.REDIS_STORY_HASH_POOL)
# if not r2:
# r2 = redis.Redis(connection_pool=settings.REDIS_STORY_HASH_POOL2)
UNREAD_CUTOFF = datetime.datetime.now() - datetime.timedelta(days=settings.DAYS_OF_STORY_HASHES)
if self.id and self.story_date > UNREAD_CUTOFF:
feed_key = 'F:%s' % self.story_feed_id
r.sadd(feed_key, self.story_hash)
r.expire(feed_key, settings.DAYS_OF_STORY_HASHES*24*60*60)
# r2.sadd(feed_key, self.story_hash)
# r2.expire(feed_key, settings.DAYS_OF_STORY_HASHES*24*60*60)
r.zadd('z' + feed_key, self.story_hash, time.mktime(self.story_date.timetuple()))
r.expire('z' + feed_key, settings.DAYS_OF_STORY_HASHES*24*60*60)
# r2.zadd('z' + feed_key, self.story_hash, time.mktime(self.story_date.timetuple()))
# r2.expire('z' + feed_key, settings.DAYS_OF_STORY_HASHES*24*60*60)
def remove_from_redis(self, r=None):
if not r:
r = redis.Redis(connection_pool=settings.REDIS_STORY_HASH_POOL)
# if not r2:
# r2 = redis.Redis(connection_pool=settings.REDIS_STORY_HASH_POOL2)
if self.id:
r.srem('F:%s' % self.story_feed_id, self.story_hash)
# r2.srem('F:%s' % self.story_feed_id, self.story_hash)
r.zrem('zF:%s' % self.story_feed_id, self.story_hash)
# r2.zrem('zF:%s' % self.story_feed_id, self.story_hash)
@classmethod
def sync_feed_redis(cls, story_feed_id):
r = redis.Redis(connection_pool=settings.REDIS_STORY_HASH_POOL)
# r2 = redis.Redis(connection_pool=settings.REDIS_STORY_HASH_POOL2)
UNREAD_CUTOFF = datetime.datetime.now() - datetime.timedelta(days=settings.DAYS_OF_STORY_HASHES)
feed = Feed.get_by_id(story_feed_id)
stories = cls.objects.filter(story_feed_id=story_feed_id, story_date__gte=UNREAD_CUTOFF)
r.delete('F:%s' % story_feed_id)
# r2.delete('F:%s' % story_feed_id)
r.delete('zF:%s' % story_feed_id)
# r2.delete('zF:%s' % story_feed_id)
logging.info(" ---> [%-30s] ~FMSyncing ~SB%s~SN stories to redis" % (feed and feed.log_title[:30] or story_feed_id, stories.count()))
p = r.pipeline()
# p2 = r2.pipeline()
for story in stories:
story.sync_redis(r=p)
p.execute()
# p2.execute()
def count_comments(self):
from apps.social.models import MSharedStory
params = {
'story_guid': self.story_guid,
'story_feed_id': self.story_feed_id,
}
comments = MSharedStory.objects.filter(has_comments=True, **params).only('user_id')
shares = MSharedStory.objects.filter(**params).only('user_id')
self.comment_count = comments.count()
self.comment_user_ids = [c['user_id'] for c in comments]
self.share_count = shares.count()
self.share_user_ids = [s['user_id'] for s in shares]
self.save()
def extract_image_urls(self, force=False, text=False):
if self.image_urls and not force and not text:
return self.image_urls
story_content = None
if not text:
story_content = self.story_content
if not story_content and self.story_content_z:
story_content = zlib.decompress(self.story_content_z)
elif text:
if self.original_text_z:
story_content = zlib.decompress(self.original_text_z)
if not story_content:
return
try:
soup = BeautifulSoup(story_content)
except ValueError:
if not text:
return self.extract_image_urls(force=force, text=True)
else:
return
images = soup.findAll('img')
if not images:
if not text:
return self.extract_image_urls(force=force, text=True)
else:
return
image_urls = []
for image in images:
image_url = image.get('src')
if not image_url:
continue
if image_url and len(image_url) >= 1024:
continue
image_urls.append(image_url)
if not image_urls:
if not text:
return self.extract_image_urls(force=force, text=True)
else:
return
if text:
urls = []
for url in image_urls:
if 'http://' in url[1:] or 'https://' in url[1:]:
continue
urls.append(url)
image_urls = urls
if len(image_urls):
self.image_urls = image_urls
return self.image_urls
def fetch_original_text(self, force=False, request=None, debug=False):
original_text_z = self.original_text_z
if not original_text_z or force:
feed = Feed.get_by_id(self.story_feed_id)
ti = TextImporter(self, feed=feed, request=request, debug=debug)
original_doc = ti.fetch(return_document=True)
original_text = original_doc.get('content') if original_doc else None
if original_doc and original_doc.get('image', False):
logging.user(request, "~FBReplacing ~FGoriginal (%s) ~FYimage url: %s" % (self.image_urls, original_doc['image']))
self.image_urls = [original_doc['image']]
else:
self.extract_image_urls(force=force, text=True)
self.save()
else:
logging.user(request, "~FYFetching ~FGoriginal~FY story text, ~SBfound.")
original_text = zlib.decompress(original_text_z)
return original_text
def fetch_original_page(self, force=False, request=None, debug=False):
from apps.rss_feeds.page_importer import PageImporter
if not self.original_page_z or force:
feed = Feed.get_by_id(self.story_feed_id)
importer = PageImporter(request=request, feed=feed, story=self)
original_page = importer.fetch_story()
else:
logging.user(request, "~FYFetching ~FGoriginal~FY story page, ~SBfound.")
original_page = zlib.decompress(self.original_page_z)
return original_page
class MStarredStory(mongo.DynamicDocument):
"""Like MStory, but not inherited due to large overhead of _cls and _type in
mongoengine's inheritance model on every single row."""
user_id = mongo.IntField(unique_with=('story_guid',))
starred_date = mongo.DateTimeField()
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()
original_text_z = mongo.BinaryField()
story_content_type = mongo.StringField(max_length=255)
story_author_name = mongo.StringField()
story_permalink = mongo.StringField()
story_guid = mongo.StringField()
story_hash = mongo.StringField()
story_tags = mongo.ListField(mongo.StringField(max_length=250))
user_tags = mongo.ListField(mongo.StringField(max_length=128))
image_urls = mongo.ListField(mongo.StringField(max_length=1024))
meta = {
'collection': 'starred_stories',
'indexes': [('user_id', '-starred_date'), ('user_id', 'story_feed_id'),
('user_id', 'story_hash'), 'story_feed_id'],
'ordering': ['-starred_date'],
'allow_inheritance': False,
'strict': False,
}
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
self.story_hash = self.feed_guid_hash
return super(MStarredStory, self).save(*args, **kwargs)
@classmethod
def find_stories(cls, query, user_id, tag=None, offset=0, limit=25, order="newest"):
stories_db = cls.objects(
Q(user_id=user_id) &
(Q(story_title__icontains=query) |
Q(story_author_name__icontains=query) |
Q(story_tags__icontains=query))
)
if tag:
stories_db = stories_db.filter(user_tags__contains=tag)
stories_db = stories_db.order_by('%sstarred_date' %
('-' if order == "newest" else ""))[offset:offset+limit]
stories = Feed.format_stories(stories_db)
return stories
@classmethod
def find_stories_by_user_tag(cls, user_tag, user_id, offset=0, limit=25):
stories_db = cls.objects(
Q(user_id=user_id),
Q(user_tags__icontains=user_tag)
).order_by('-starred_date')[offset:offset+limit]
stories = Feed.format_stories(stories_db)
return stories
@classmethod
def trim_old_stories(cls, stories=10, days=90, dryrun=False):
print " ---> Fetching starred story counts..."
stats = settings.MONGODB.newsblur.starred_stories.aggregate([{
"$group": {
"_id": "$user_id",
"stories": {"$sum": 1},
},
}, {
"$match": {
"stories": {"$gte": stories}
},
}])
month_ago = datetime.datetime.now() - datetime.timedelta(days=days)
user_ids = list(stats)
user_ids = sorted(user_ids, key=lambda x:x['stories'], reverse=True)
print " ---> Found %s users with more than %s starred stories" % (len(user_ids), stories)
total = 0
for stat in user_ids:
try:
user = User.objects.select_related('profile').get(pk=stat['_id'])
except User.DoesNotExist:
user = None
if user and (user.profile.is_premium or user.profile.last_seen_on > month_ago):
continue
total += stat['stories']
username = "%s (%s)" % (user and user.username or " - ", stat['_id'])
print " ---> %19.19s: %-20.20s %s stories" % (user and user.profile.last_seen_on or "Deleted",
username,
stat['stories'])
if not dryrun and stat['_id']:
cls.objects.filter(user_id=stat['_id']).delete()
elif not dryrun and stat['_id'] == 0:
print " ---> Deleting unstarred stories (user_id = 0)"
cls.objects.filter(user_id=stat['_id']).delete()
print " ---> Deleted %s stories in total." % total
@property
def guid_hash(self):
return hashlib.sha1(self.story_guid).hexdigest()[:6]
@property
def feed_guid_hash(self):
return "%s:%s" % (self.story_feed_id or "0", self.guid_hash)
def fetch_original_text(self, force=False, request=None, debug=False):
original_text_z = self.original_text_z
feed = Feed.get_by_id(self.story_feed_id)
if not original_text_z or force:
ti = TextImporter(self, feed=feed, request=request, debug=debug)
original_text = ti.fetch()
else:
logging.user(request, "~FYFetching ~FGoriginal~FY story text, ~SBfound.")
original_text = zlib.decompress(original_text_z)
return original_text
class MStarredStoryCounts(mongo.Document):
user_id = mongo.IntField()
tag = mongo.StringField(max_length=128)
feed_id = mongo.IntField()
slug = mongo.StringField(max_length=128)
count = mongo.IntField(default=0)
meta = {
'collection': 'starred_stories_counts',
'indexes': ['user_id'],
'ordering': ['tag'],
'allow_inheritance': False,
}
@property
def rss_url(self, secret_token=None):
if self.feed_id:
return
if not secret_token:
user = User.objects.select_related('profile').get(pk=self.user_id)
secret_token = user.profile.secret_token
slug = self.slug if self.slug else ""
return "%s/reader/starred_rss/%s/%s/%s" % (settings.NEWSBLUR_URL, self.user_id,
secret_token, slug)
@classmethod
def user_counts(cls, user_id, include_total=False, try_counting=True):
counts = cls.objects.filter(user_id=user_id)
counts = sorted([{'tag': c.tag,
'count': c.count,
'feed_address': c.rss_url,
'feed_id': c.feed_id}
for c in counts],
key=lambda x: (x.get('tag', '') or '').lower())
total = 0
feed_total = 0
for c in counts:
if not c['tag'] and not c['feed_id']:
total = c['count']
if c['feed_id']:
feed_total += c['count']
if try_counting and (total != feed_total or not len(counts)):
user = User.objects.get(pk=user_id)
logging.user(user, "~FC~SBCounting~SN saved stories (%s total vs. %s counted)..." %
(total, feed_total))
cls.count_for_user(user_id)
return cls.user_counts(user_id, include_total=include_total,
try_counting=False)
if include_total:
return counts, total
return counts
@classmethod
def schedule_count_tags_for_user(cls, user_id):
ScheduleCountTagsForUser.apply_async(kwargs=dict(user_id=user_id))
@classmethod
def count_for_user(cls, user_id, total_only=False):
user_tags = []
user_feeds = []
if not total_only:
cls.objects(user_id=user_id).delete()
try:
user_tags = cls.count_tags_for_user(user_id)
user_feeds = cls.count_feeds_for_user(user_id)
except pymongo.errors.OperationFailure, e:
logging.debug(" ---> ~FBOperationError on mongo: ~SB%s" % e)
total_stories_count = MStarredStory.objects(user_id=user_id).count()
cls.objects(user_id=user_id, tag=None, feed_id=None).update_one(set__count=total_stories_count,
upsert=True)
return dict(total=total_stories_count, tags=user_tags, feeds=user_feeds)
@classmethod
def count_tags_for_user(cls, user_id):
all_tags = MStarredStory.objects(user_id=user_id,
user_tags__exists=True).item_frequencies('user_tags')
user_tags = sorted([(k, v) for k, v in all_tags.items() if int(v) > 0 and k],
key=lambda x: x[0].lower(),
reverse=True)
for tag, count in dict(user_tags).items():
cls.objects(user_id=user_id, tag=tag, slug=slugify(tag)).update_one(set__count=count,
upsert=True)
return user_tags
@classmethod
def count_feeds_for_user(cls, user_id):
all_feeds = MStarredStory.objects(user_id=user_id).item_frequencies('story_feed_id')
user_feeds = dict([(k, v) for k, v in all_feeds.items() if v])
# Clean up None'd and 0'd feed_ids, so they can be counted against the total
if user_feeds.get(None, False):
user_feeds[0] = user_feeds.get(0, 0)
user_feeds[0] += user_feeds.get(None)
del user_feeds[None]
if user_feeds.get(0, False):
user_feeds[-1] = user_feeds.get(0, 0)
del user_feeds[0]
for feed_id, count in user_feeds.items():
cls.objects(user_id=user_id,
feed_id=feed_id,
slug="feed:%s" % feed_id).update_one(set__count=count,
upsert=True)
return user_feeds
@classmethod
def adjust_count(cls, user_id, feed_id=None, tag=None, amount=0):
params = dict(user_id=user_id)
if feed_id:
params['feed_id'] = feed_id
if tag:
params['tag'] = tag
cls.objects(**params).update_one(inc__count=amount, upsert=True)
try:
story_count = cls.objects.get(**params)
except cls.MultipleObjectsReturned:
story_count = cls.objects(**params).first()
if story_count and story_count.count <= 0:
story_count.delete()
class MSavedSearch(mongo.Document):
user_id = mongo.IntField()
query = mongo.StringField(max_length=1024)
feed_id = mongo.StringField()
slug = mongo.StringField(max_length=128)
meta = {
'collection': 'saved_searches',
'indexes': ['user_id',
{'fields': ['user_id', 'feed_id', 'query'],
'unique': True,
'types': False, }],
'ordering': ['query'],
'allow_inheritance': False,
}
@property
def rss_url(self, secret_token=None):
if not secret_token:
user = User.objects.select_related('profile').get(pk=self.user_id)
secret_token = user.profile.secret_token
slug = self.slug if self.slug else ""
return "%s/reader/saved_search/%s/%s/%s" % (settings.NEWSBLUR_URL, self.user_id,
secret_token, slug)
@classmethod
def user_searches(cls, user_id):
searches = cls.objects.filter(user_id=user_id)
searches = sorted([{'query': s.query,
'feed_address': s.rss_url,
'feed_id': s.feed_id,
} for s in searches],
key=lambda x: (x.get('query', '') or '').lower())
return searches
@classmethod
def save_search(cls, user_id, feed_id, query):
user = User.objects.get(pk=user_id)
params = dict(user_id=user_id,
feed_id=feed_id,
query=query,
slug=slugify(query))
try:
saved_search = cls.objects.get(**params)
logging.user(user, "~FRSaved search already exists: ~SB%s" % query)
except cls.DoesNotExist:
logging.user(user, "~FCCreating a saved search: ~SB%s~SN/~SB%s" % (feed_id, query))
saved_search = cls.objects.create(**params)
return saved_search
@classmethod
def delete_search(cls, user_id, feed_id, query):
user = User.objects.get(pk=user_id)
params = dict(user_id=user_id,
feed_id=feed_id,
query=query)
try:
saved_search = cls.objects.get(**params)
logging.user(user, "~FCDeleting saved search: ~SB%s" % query)
saved_search.delete()
except cls.DoesNotExist:
logging.user(user, "~FRCan't delete saved search, missing: ~SB%s~SN/~SB%s" % (feed_id, query))
except cls.MultipleObjectsReturned:
logging.user(user, "~FRFound multiple saved searches, deleting: ~SB%s~SN/~SB%s" % (feed_id, query))
cls.objects(**params).delete()
class MFetchHistory(mongo.Document):
feed_id = mongo.IntField(unique=True)
feed_fetch_history = mongo.DynamicField()
page_fetch_history = mongo.DynamicField()
push_history = mongo.DynamicField()
raw_feed_history = mongo.DynamicField()
meta = {
'db_alias': 'nbanalytics',
'collection': 'fetch_history',
'allow_inheritance': False,
}
@classmethod
def feed(cls, feed_id, timezone=None, fetch_history=None):
if not fetch_history:
try:
fetch_history = cls.objects.read_preference(pymongo.ReadPreference.PRIMARY)\
.get(feed_id=feed_id)
except cls.DoesNotExist:
fetch_history = cls.objects.create(feed_id=feed_id)
history = {}
for fetch_type in ['feed_fetch_history', 'page_fetch_history', 'push_history']:
history[fetch_type] = getattr(fetch_history, fetch_type)
if not history[fetch_type]:
history[fetch_type] = []
for f, fetch in enumerate(history[fetch_type]):
date_key = 'push_date' if fetch_type == 'push_history' else 'fetch_date'
history[fetch_type][f] = {
date_key: localtime_for_timezone(fetch[0],
timezone).strftime("%Y-%m-%d %H:%M:%S"),
'status_code': fetch[1],
'message': fetch[2]
}
return history
@classmethod
def add(cls, feed_id, fetch_type, date=None, message=None, code=None, exception=None):
if not date:
date = datetime.datetime.now()
try:
fetch_history = cls.objects.read_preference(pymongo.ReadPreference.PRIMARY)\
.get(feed_id=feed_id)
except cls.DoesNotExist:
fetch_history = cls.objects.create(feed_id=feed_id)
if fetch_type == 'feed':
history = fetch_history.feed_fetch_history or []
elif fetch_type == 'page':
history = fetch_history.page_fetch_history or []
elif fetch_type == 'push':
history = fetch_history.push_history or []
elif fetch_type == 'raw_feed':
history = fetch_history.raw_feed_history or []
history = [[date, code, message]] + history
any_exceptions = any([c for d, c, m in history if c not in [200, 304]])
if any_exceptions:
history = history[:25]
elif fetch_type == 'raw_feed':
history = history[:10]
else:
history = history[:5]
if fetch_type == 'feed':
fetch_history.feed_fetch_history = history
elif fetch_type == 'page':
fetch_history.page_fetch_history = history
elif fetch_type == 'push':
fetch_history.push_history = history
elif fetch_type == 'raw_feed':
fetch_history.raw_feed_history = history
fetch_history.save()
if fetch_type == 'feed':
RStats.add('feed_fetch')
return cls.feed(feed_id, fetch_history=fetch_history)
class DuplicateFeed(models.Model):
duplicate_address = models.CharField(max_length=764, db_index=True)
duplicate_link = models.CharField(max_length=764, null=True, db_index=True)
duplicate_feed_id = models.CharField(max_length=255, null=True, db_index=True)
feed = models.ForeignKey(Feed, related_name='duplicate_addresses')
def __unicode__(self):
return "%s: %s / %s" % (self.feed, self.duplicate_address, self.duplicate_link)
def canonical(self):
return {
'duplicate_address': self.duplicate_address,
'duplicate_link': self.duplicate_link,
'duplicate_feed_id': self.duplicate_feed_id,
'feed_id': self.feed_id
}
def save(self, *args, **kwargs):
max_address = DuplicateFeed._meta.get_field('duplicate_address').max_length