def article_info_for_teacher(self):
from zeeguu_core.model import CohortArticleMap
info = self.article_info()
info["cohorts"] = CohortArticleMap.get_cohorts_for_article(self)
return info
def cohort_articles_for_user(user):
try:
cohort = Cohort.find(user.cohort_id)
cohort_articles = CohortArticleMap.get_articles_info_for_cohort(cohort)
return cohort_articles
except NoResultFound as e:
return []
def cohort_articles_for_user(self):
from zeeguu_core.model import Cohort, CohortArticleMap
try:
cohort = Cohort.find(self.cohort_id)
cohort_articles = CohortArticleMap.get_articles_info_for_cohort(cohort)
return cohort_articles
except NoResultFound as e:
return []
def article_recommendations_for_user(user, count):
"""
Retrieve :param count articles which are equally distributed
over all the feeds to which the :param user is registered to.
Fails if no language is selected.
:return:
"""
# Temporary fix for the experiment of Gabriel
AIKI_USERS_COHORT_ID = 109
if user.cohort_id == AIKI_USERS_COHORT_ID:
return CohortArticleMap.get_articles_info_for_cohort(user.cohort)
import zeeguu_core
user_languages = Language.all_reading_for_user(user)
if not user_languages:
return [user.learned_language]
reading_pref_hash = _reading_preferences_hash(user)
_recompute_recommender_cache_if_needed(user, zeeguu_core.db.session)
# two fast calls ot /articles/recommended might result in a race condition
# in _recompute_recommender_cache;
# race condition in _recompute_recommender_cache might result in
# duplicates in the db; since this is being sunset for the elastic search
# it's not worth fixing the race condition; instead we're simply
# ensuring that duplicate articles are removed at this point
all_articles = set(
ArticlesCache.get_articles_for_hash(reading_pref_hash, count))
all_articles = [
each for each in all_articles
if (not each.broken and each.published_time)
]
all_articles = SortedList(all_articles, lambda x: x.published_time)
return [
UserArticle.user_article_info(user, article)
for article in reversed(all_articles)
]
def article_recommendations_for_user(user, count):
"""
Retrieve :param count articles which are equally distributed
over all the feeds to which the :param user is registered to.
Fails if no language is selected.
:return:
"""
# Temporary fix for the experiment of Gabriel
AIKI_USERS_COHORT_ID = 109
if user.cohort_id == AIKI_USERS_COHORT_ID:
return CohortArticleMap.get_articles_info_for_cohort(user.cohort)
import zeeguu_core
user_languages = Language.all_reading_for_user(user)
if not user_languages:
return [user.learned_language]
reading_pref_hash = _reading_preferences_hash(user)
_recompute_recommender_cache_if_needed(user, zeeguu_core.db.session)
all_articles = ArticlesCache.get_articles_for_hash(reading_pref_hash,
count)
all_articles = [
each for each in all_articles
if (not each.broken and each.published_time)
]
all_articles = SortedList(all_articles, lambda x: x.published_time)
return [
UserArticle.user_article_info(user, article)
for article in reversed(all_articles)
]