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 html.parser import urllib.parse from collections import defaultdict from operator import itemgetter from bson.objectid import ObjectId from bs4 import BeautifulSoup # 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.urls 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_bytes, smart_text from mongoengine.queryset import OperationError, Q, NotUniqueError 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 feedfinder as feedfinder_old 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 from utils.story_functions import create_imageproxy_signed_url ENTRY_NEW, ENTRY_UPDATED, ENTRY_SAME, ENTRY_ERR = list(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, on_delete=models.CASCADE) 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') 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 as 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 as 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(f" ---> {f} / {last_pk} ({str(float(f)/last_pk*100)[:2]}%") 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, defaults=None, **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 try: feed = cls.objects.get(feed_address=feed_address, feed_link=feed_link) return feed, False except cls.DoesNotExist: feed = cls(**defaults) feed.save() return feed, True @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, interactive=False): 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 @timelimit(10) def _feedfinder_old(url): found_feed_urls = feedfinder_old.feeds(url) return found_feed_urls # Normalize and check for feed_address, dupes, and feed_link url = urlnorm.normalize(url) if not url: logging.debug(" ---> ~FRCouldn't normalize url: ~SB%s" % url) return feed = by_url(url) found_feed_urls = [] if interactive: import pdb; pdb.set_trace() # 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 not found_feed_urls: try: found_feed_urls = _feedfinder_old(url) except TimeoutError: logging.debug(' ---> Feed finder old 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): logging.debug(" ---> ~FRNot created and not within bounds, tossing: ~SB%s" % feed) 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 as 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('.', end=' ') 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, ), end=' ') 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(f" ---> {self.feed} [{self.pk}]: {self.stories_last_month} 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 = '%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.items()]) 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 = urllib.parse.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): try: from utils import feed_fetcher except ImportError as e: logging.info(" ***> ~BR~FRImportError: %s" % e) return 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(list(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 as 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 ) try: s.save() ret_values['new'] += 1 s.publish_to_subscribers() except (IntegrityError, OperationError) as 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) as 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 " [%-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 list(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, str): 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 list(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 range(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 as 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(list(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(list(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, str): 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 list(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, str): 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_text(zlib.decompress(story_db.story_latest_content_z)) if story_db.story_content_z: story_content = smart_text(zlib.decompress(story_db.story_content_z)) if ' 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['secure_image_urls']= cls.secure_image_urls(story_db.image_urls) story['secure_image_thumbnails']= cls.secure_image_thumbnails(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 @classmethod def secure_image_urls(cls, urls): signed_urls = [create_imageproxy_signed_url(settings.IMAGES_URL, settings.IMAGES_SECRET_KEY, url) for url in urls] return dict(zip(urls, signed_urls)) @classmethod def secure_image_thumbnails(cls, urls, size=192): signed_urls = [create_imageproxy_signed_url(settings.IMAGES_URL, settings.IMAGES_SECRET_KEY, url, size) for url in urls] return dict(zip(urls, signed_urls)) def get_tags(self, entry): fcat = [] if 'tags' in entry: 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 or "CDATA" in 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 = list(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 list(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, str): # 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_text(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_text(zlib.decompress(existing_story.story_content_z)) elif 'story_content' in existing_story: existing_story_content = existing_story.story_content else: existing_story_content = '' # 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 # 4 hour max for premiums, 48 hour max for free if subs >= 1: total = min(total, 60*4*1) else: total = min(total, 60*24*2) # Craigslist feeds get 6 hours minimum if 'craigslist' in self.feed_address: total = max(total, 60*6) 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'’', '\'', content) # content = re.sub(r'&', '&', content) # try: # content = unicode(BeautifulStoneSoup(content, # convertEntities=BeautifulStoneSoup.HTML_ENTITIES)) # except ValueError, e: # print "ValueError, ignoring: %s" % e # content = re.sub(r']*>', '', 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', on_delete=models.CASCADE) 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 as 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 = str(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 = html.parser.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 self.extract_image_urls() if self.story_content: self.story_content_z = zlib.compress(smart_bytes(self.story_content)) self.story_content = None if self.story_original_content: self.story_original_content_z = zlib.compress(smart_bytes(self.story_original_content)) self.story_original_content = None if self.story_latest_content: self.story_latest_content_z = zlib.compress(smart_bytes(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 range(offset, last_pk, 1000): print(" ---> %s / %s (%.2s%%)" % (f, last_pk, float(f)/last_pk*100)) feeds = Feed.objects.filter(pk__in=list(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 Exception: 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...' % (str(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 as e: logging.debug(' ***> [%-30s] ~BRError trimming feed: %s' % (str(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 = self.image_urls if not image_urls: 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 ordered_image_urls = [] for image_url in list(set(image_urls)): if 'feedburner' in image_url: ordered_image_urls.append(image_url) else: ordered_image_urls.insert(0, image_url) image_urls = ordered_image_urls if len(image_urls): self.image_urls = [u for u in image_urls if u] 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 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 def fetch_original_page(self, force=False, request=None, debug=False): return None 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 as 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 list(all_tags.items()) if int(v) > 0 and k], key=lambda x: x[0].lower(), reverse=True) for tag, count in list(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 list(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] too_many_feeds = False if len(user_feeds) < 1000 else True for feed_id, count in list(user_feeds.items()): if too_many_feeds and count <= 1: continue 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', on_delete=models.CASCADE) 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 if len(self.duplicate_address) > max_address: self.duplicate_address = self.duplicate_address[:max_address] max_link = DuplicateFeed._meta.get_field('duplicate_link').max_length if self.duplicate_link and len(self.duplicate_link) > max_link: self.duplicate_link = self.duplicate_link[:max_link] super(DuplicateFeed, self).save(*args, **kwargs) def merge_feeds(original_feed_id, duplicate_feed_id, force=False): from apps.reader.models import UserSubscription from apps.social.models import MSharedStory if original_feed_id == duplicate_feed_id: logging.info(" ***> Merging the same feed. Ignoring...") return original_feed_id try: original_feed = Feed.objects.get(pk=original_feed_id) duplicate_feed = Feed.objects.get(pk=duplicate_feed_id) except Feed.DoesNotExist: logging.info(" ***> Already deleted feed: %s" % duplicate_feed_id) return original_feed_id heavier_dupe = original_feed.num_subscribers < duplicate_feed.num_subscribers branched_original = original_feed.branch_from_feed and not duplicate_feed.branch_from_feed if (heavier_dupe or branched_original) and not force: original_feed, duplicate_feed = duplicate_feed, original_feed original_feed_id, duplicate_feed_id = duplicate_feed_id, original_feed_id if branched_original: original_feed.feed_address = duplicate_feed.feed_address logging.info(" ---> Feed: [%s - %s] %s - %s" % (original_feed_id, duplicate_feed_id, original_feed, original_feed.feed_link)) logging.info(" Orig ++> %s: (%s subs) %s / %s %s" % (original_feed.pk, original_feed.num_subscribers, original_feed.feed_address, original_feed.feed_link, " [B: %s]" % original_feed.branch_from_feed.pk if original_feed.branch_from_feed else "")) logging.info(" Dupe --> %s: (%s subs) %s / %s %s" % (duplicate_feed.pk, duplicate_feed.num_subscribers, duplicate_feed.feed_address, duplicate_feed.feed_link, " [B: %s]" % duplicate_feed.branch_from_feed.pk if duplicate_feed.branch_from_feed else "")) original_feed.branch_from_feed = None user_subs = UserSubscription.objects.filter(feed=duplicate_feed).order_by('-pk') for user_sub in user_subs: user_sub.switch_feed(original_feed, duplicate_feed) def delete_story_feed(model, feed_field='feed_id'): duplicate_stories = model.objects(**{feed_field: duplicate_feed.pk}) # if duplicate_stories.count(): # logging.info(" ---> Deleting %s %s" % (duplicate_stories.count(), model)) duplicate_stories.delete() delete_story_feed(MStory, 'story_feed_id') delete_story_feed(MFeedPage, 'feed_id') try: DuplicateFeed.objects.create( duplicate_address=duplicate_feed.feed_address, duplicate_link=duplicate_feed.feed_link, duplicate_feed_id=duplicate_feed.pk, feed=original_feed ) except (IntegrityError, OperationError) as e: logging.info(" ***> Could not save DuplicateFeed: %s" % e) # Switch this dupe feed's dupe feeds over to the new original. duplicate_feeds_duplicate_feeds = DuplicateFeed.objects.filter(feed=duplicate_feed) for dupe_feed in duplicate_feeds_duplicate_feeds: dupe_feed.feed = original_feed dupe_feed.duplicate_feed_id = duplicate_feed.pk dupe_feed.save() logging.debug(' ---> Dupe subscribers (%s): %s, Original subscribers (%s): %s' % (duplicate_feed.pk, duplicate_feed.num_subscribers, original_feed.pk, original_feed.num_subscribers)) if duplicate_feed.pk != original_feed.pk: duplicate_feed.delete() else: logging.debug(" ***> Duplicate feed is the same as original feed. Panic!") logging.debug(' ---> Deleted duplicate feed: %s/%s' % (duplicate_feed, duplicate_feed_id)) original_feed.branch_from_feed = None original_feed.count_subscribers() original_feed.save() logging.debug(' ---> Now original subscribers: %s' % (original_feed.num_subscribers)) MSharedStory.switch_feed(original_feed_id, duplicate_feed_id) return original_feed_id def rewrite_folders(folders, original_feed, duplicate_feed): new_folders = [] for k, folder in enumerate(folders): if isinstance(folder, int): if folder == duplicate_feed.pk: # logging.info(" ===> Rewrote %s'th item: %s" % (k+1, folders)) new_folders.append(original_feed.pk) else: new_folders.append(folder) elif isinstance(folder, dict): for f_k, f_v in list(folder.items()): new_folders.append({f_k: rewrite_folders(f_v, original_feed, duplicate_feed)}) return new_folders