def _reading_preferences_hash(user):
"""
Method to retrieve the hash, as this is done several times.
:param user:
:return: articles_hash: ArticlesHash
"""
user_filter_subscriptions = TopicFilter.all_for_user(user)
filters = [topic_id.topic for topic_id in user_filter_subscriptions]
user_topic_subscriptions = TopicSubscription.all_for_user(user)
topics = [topic_id.topic for topic_id in user_topic_subscriptions]
user_languages = Language.all_reading_for_user(user)
user_search_filters = SearchFilter.all_for_user(user)
search_filters = [search_id.search for search_id in user_search_filters]
user_searches = SearchSubscription.all_for_user(user)
searches = [search_id.search for search_id in user_searches]
articles_hash = ArticlesCache.calculate_hash(
user, topics, filters, searches, search_filters, user_languages
)
return articles_hash
def _find_articles_for_user(user):
"""
This method gets all the topic and search subscriptions for a user.
It then returns all the articles that are associated with these.
:param user:
:return:
"""
user_languages = Language.all_reading_for_user(user)
topic_subscriptions = TopicSubscription.all_for_user(user)
search_subscriptions = SearchSubscription.all_for_user(user)
subscribed_articles = _filter_subscribed_articles(
search_subscriptions, topic_subscriptions, user_languages, user
)
return subscribed_articles
def article_search_for_user(user, count, search_terms):
"""
Handles searching.
Find the relational values from the database and use them to search in elasticsearch for relative articles.
:param user:
:param count: max amount of articles to return
:param search_terms: the inputed search string by the user
:return: articles
"""
user_languages = Language.all_reading_for_user(user)
per_language_article_count = count / len(user_languages)
final_article_mix = []
for language in user_languages:
print(f"language: {language}")
# 0. Ensure appropriate difficulty
declared_level_min, declared_level_max = user.levels_for(language)
lower_bounds = declared_level_min * 10
upper_bounds = declared_level_max * 10
# 1. Unwanted user topics
# ==============================
user_search_filters = SearchFilter.all_for_user(user)
unwanted_user_topics = []
for user_search_filter in user_search_filters:
unwanted_user_topics.append(user_search_filter.search.keywords)
print(f"keywords to exclude: {unwanted_user_topics}")
# 2. Topics to exclude / filter out
# =================================
excluded_topics = TopicFilter.all_for_user(user)
topics_to_exclude = [each.topic.title for each in excluded_topics]
print(f"topics to exclude: {topics_to_exclude}")
# 3. Topics subscribed, and thus to include
# =========================================
topic_subscriptions = TopicSubscription.all_for_user(user)
topics_to_include = [
subscription.topic.title
for subscription in TopicSubscription.all_for_user(user)
]
print(f"topics to include: {topic_subscriptions}")
# 4. Wanted user topics
# =========================================
user_subscriptions = SearchSubscription.all_for_user(user)
wanted_user_topics = []
for sub in user_subscriptions:
wanted_user_topics.append(sub.search.keywords)
print(f"keywords to include: {wanted_user_topics}")
# build the query using elastic_query_builder
query_body = build_elastic_query(
per_language_article_count,
search_terms,
_list_to_string(topics_to_include),
_list_to_string(topics_to_exclude),
_list_to_string(wanted_user_topics),
_list_to_string(unwanted_user_topics),
language,
upper_bounds,
lower_bounds,
)
es = Elasticsearch(ES_CONN_STRING)
res = es.search(index=ES_ZINDEX, body=query_body)
hit_list = res["hits"].get("hits")
final_article_mix.extend(_to_articles_from_ES_hits(hit_list))
# convert to article_info and return
return [
UserArticle.user_article_info(user, article)
for article in final_article_mix if article is not None
]